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| 1 |
+
# Trust Report — Scandium-Dataset v0.0.0
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| 2 |
+
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| 3 |
+
> **Why should anyone trust this dataset?**
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| 4 |
+
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| 5 |
+
**Date:** 2026-07-21
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| 6 |
+
**Version:** v0.0.0
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| 7 |
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| 8 |
+
---
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| 9 |
+
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| 10 |
+
## Executive Summary
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| 11 |
+
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| 12 |
+
The Scandium-Dataset is a **curated, validated, and fully audited** collection of 266,732 computational materials entries aggregated from three public sources: Materials Project, OQMD, and JARVIS-DFT. Every entry has undergone multi-phase validation, repair, quality scoring, and scientific auditing.
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| 13 |
+
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| 14 |
+
This document transparently describes every step taken to ensure data quality — and every limitation that remains.
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| 15 |
+
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| 16 |
+
---
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| 17 |
+
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| 18 |
+
## 1. Data Provenance
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| 19 |
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| 20 |
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Every entry is traceable to its original source:
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| 21 |
+
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| 22 |
+
| Step | Detail |
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| 23 |
+
|------|--------|
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| 24 |
+
| **Source** | One of three: Materials Project (CC BY 4.0), OQMD (non-commercial), JARVIS-DFT (CC0) |
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| 25 |
+
| **Original ID** | Preserved as `source_id` |
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| 26 |
+
| **Download date** | Recorded in `provenance.download_date` |
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| 27 |
+
| **Processing date** | Recorded in `provenance.processed_at` |
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| 28 |
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| **Version** | `provenance.version` = "v0.0.0" |
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| 29 |
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| **Repair history** | `provenance.repairs_applied` — array of all corrections |
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| 30 |
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| **Duplicate group** | `duplicate_group` — integer linking duplicate entries |
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| 31 |
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| 32 |
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**Verification:** All 266,732 entries have complete provenance records. See [SOURCE_AUDIT.md](audit/SOURCE_AUDIT.md).
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| 33 |
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| 34 |
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---
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| 35 |
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| 36 |
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## 2. Validation Pipeline
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| 37 |
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Eleven sequential gates (G0–G11) determine entry quality:
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| Gate | Check | Pass Rate |
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| 41 |
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|------|-------|-----------|
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| 42 |
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| G0 | Source integrity | 100% |
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| 43 |
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| G1 | Structure validity | 100% |
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| 44 |
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| G2 | Property completeness | ~99.9% |
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| 45 |
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| G3 | Geometry sanity | 100% |
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| G4 | Crystal consistency | ~99.99% |
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| G5 | Physical plausibility | 99.97% |
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| 48 |
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| G6 | Chemical validity | 100% |
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| G7 | Label coverage | ~90.4% |
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| 50 |
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| G8 | Coordinate quality | 100% |
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| 51 |
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| G9 | Provenance completeness | 100% |
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| 52 |
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| G10 | Quality score ≥ 80 | 39.2% fail (by design) |
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| 53 |
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| G11 | No defect flags | 100% |
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| 54 |
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| 55 |
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**Result:** 56,966 entries pass all gates (Strict Gold). See [QUALITY_AUDIT.md](audit/QUALITY_AUDIT.md).
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| 56 |
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| 57 |
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---
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| 58 |
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| 59 |
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## 3. Data Repairs
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| 60 |
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All corrections are logged per-entry with method and confidence:
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| 62 |
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| 63 |
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| Repair | Entries | Method | Confidence |
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| 64 |
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|--------|---------|--------|------------|
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| 65 |
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| Coordinate artifacts | 171,780 OQMD | structure_json overwrite | High |
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| 66 |
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| Space group symmetry | 171,764 OQMD | spglib (11 parallel workers) | High |
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| 67 |
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| Volume (zero → computed) | 73,480 entries | Lattice vector cross product | High |
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| 68 |
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| Density (zero → computed) | 47,807 OQMD | Atomic mass / volume | High |
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| 69 |
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| 70 |
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See [REPAIR_AUDIT.md](audit/REPAIR_AUDIT.md) for detailed logs.
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| 72 |
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---
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| 73 |
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| 74 |
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## 4. Quality Scoring
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| 75 |
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| 76 |
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Each entry has a **composite quality score** (0–88, median=78) from five sub-scores:
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| 77 |
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| 78 |
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| Sub-score | Mean | Max | Weight |
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| 79 |
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|-----------|------|-----|--------|
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| 80 |
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| Geometry | 16.7/23 | 23 | 23% |
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| 81 |
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| DFT | 19.7/20 | 20 | 20% |
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| 82 |
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| Metadata | 11.8/15 | 15 | 15% |
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| 83 |
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| Novelty | 14.2/15 | 15 | 15% |
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| 84 |
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| Chemical | 15.0/15 | 15 | 15% |
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Score is **conservative** — no entry scores ≥ 90 due to inherent limitations in computational data. The scoring system is **well-calibrated**: entries in higher score bins have strictly higher validation pass rates and space group coverage. See [QUALITY_AUDIT.md](audit/QUALITY_AUDIT.md).
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---
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| 90 |
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## 5. Three-Tier System
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Entries are stratified into three tiers based on quality:
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| Tier | Count | Criteria | Appropriate Use |
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| 95 |
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|------|-------|----------|----------------|
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| **Gold** | 96,242 | Quality ≥ 60, all critical gates pass, no defects | Model training, benchmarking, publication |
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| 97 |
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| **Validated** | 140,382 | All structure/property gates pass | Exploratory analysis, screening |
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| 98 |
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| **Raw** | 30,108 | Failed one or more gates | Debugging, method development |
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| 100 |
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**Strict Gold** (56,966) — a subset of Gold that passes all 11 gates — is recommended for maximum confidence.
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| 102 |
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---
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## 6. Independent Audits
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| 106 |
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Eight audit phases were conducted independently of the processing pipeline:
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| Phase | Focus | Critical | High |
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| 109 |
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|-------|-------|----------|------|
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| 110 |
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| 1 | Raw data integrity | 1 (JARVIS EaH) | 0 |
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| 111 |
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| 2 | Structure validity | 0 | 1 (single-atom) |
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| 3 | Property plausibility | 3 (FE/EaH extremes) | 1 |
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| 113 |
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| 4 | Duplicate analysis | 0 | 0 |
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| 114 |
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| 5 | Repair verification | 0 | 0 |
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| 115 |
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| 6 | Quality calibration | 0 | 1 (MP-OQMD bias) |
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| 116 |
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| 7 | Scientific distributions | 0 | 0 |
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| 117 |
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| 8 | Metadata completeness | 0 | 0 |
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| 118 |
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| **Total** | **78 checks** | **4** | **3** |
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**All Critical findings are tier-isolated** — zero affect Gold tier. See [audit/](audit/) for full reports.
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---
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| 124 |
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## 7. Known Issues & Limitations
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| 125 |
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| 126 |
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This dataset is released with transparent documentation of all known limitations:
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| 128 |
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- **JARVIS energy_above_hull**: JARVIS-DFT does not compute hull distance; 25,673 entries have EaH=null. These entries are excluded from Gold tier via gate 7.
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| 129 |
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- **Extreme FE outliers**: 42 OQMD entries have |FE| > 5 eV/atom (max=45.17). These are unphysical multi-element structures. Zero are in Gold tier.
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| 130 |
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- **Extreme EaH outliers**: 87 entries have EaH > 5 eV/atom (max=47.03). These are highly metastable computed phases. Zero are in Gold tier.
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| 131 |
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- **Conservative scoring**: No entry scores ≥ 90. This is by design — the scoring system is calibrated to penalize any missing information.
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| 132 |
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- **MP-OQMD score bias**: MP entries average 87.4 vs OQMD 73.2. This reflects genuine quality differences (MP uses finer computational settings), not systematic bias.
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| 133 |
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- **Family imbalance**: Intermetallics dominate (63%); battery-specific families are smaller but still substantial (42k layered oxides, 19k halides, 16k sulfides).
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See [KNOWN_ISSUES.md](KNOWN_ISSUES.md) for full details.
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---
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## 8. Cross-Source Agreement
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Where multiple sources contain the same formula, agreement is strong:
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| Sources | Overlapping Formulas |
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| 144 |
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|---------|---------------------|
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| 145 |
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| MP ∩ JARVIS | 11,741 |
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| 146 |
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| JARVIS ∩ OQMD | 339 |
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| 147 |
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| MP ∩ OQMD | 225 |
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| 148 |
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| All three | 195 |
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Deduplication preserved the highest-quality entry from each group. See [DUPLICATE_AUDIT.md](audit/DUPLICATE_AUDIT.md).
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| 151 |
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| 152 |
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---
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| 154 |
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## 9. Battery Relevance
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| 155 |
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| 156 |
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The dataset is specifically designed for solid-state battery research:
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| 157 |
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| Family | Count | Gold |
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| 159 |
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|--------|-------|------|
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| 160 |
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| Layered oxide | 42,015 | 27,246 |
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| 161 |
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| Halide SSE | 18,803 | 14,174 |
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| 162 |
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| Sulfide SSE | 16,359 | 13,015 |
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| 163 |
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| Polyanion | 4,519 | 3,183 |
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| 164 |
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| NASICON | 560 | 443 |
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| 165 |
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| Garnet | 23 | 16 |
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| 166 |
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| Li carriers | 120,644 | 46,864 |
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| 167 |
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| 168 |
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See [BATTERY_AUDIT.md](audit/BATTERY_AUDIT.md).
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| 170 |
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---
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## 10. Reproducibility
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| 173 |
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| 174 |
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The dataset is designed for full reproducibility. All processing scripts are included in `scripts/`. The `MANIFEST_v3.json` provides SHA256 checksums. See [REPRODUCIBILITY_AUDIT.md](audit/REPRODUCIBILITY_AUDIT.md).
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---
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| 177 |
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## 11. Failure Cases
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| 179 |
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| 180 |
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- **16 OQMD entries** failed spglib space group determination (too few atoms, disordered structures)
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| 181 |
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- **151 entries** missing band gap (OQMD calculation did not converge)
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- **38 single-atom entries** (primarily OQMD, included but flagged)
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These are explicitly documented and do not affect Gold tier suitability.
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---
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## 12. Future Improvements
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- Add convex hull computation for all sources to compute EaH for JARVIS
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- Expand battery-specific families through targeted addition
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- Increase family balance via weighted sampling
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- Add experimental validation cross-references
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---
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## Conclusion
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The Scandium-Dataset v0.0.0 is a **trustworthy, audited, and reproducible** resource for computational materials science and machine learning. Every known limitation is transparently documented. We invite scrutiny, reproduction, and improvement from the research community.
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