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+ # Trust Report — Scandium-Dataset v0.0.0
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+
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+ > **Why should anyone trust this dataset?**
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+
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+ **Date:** 2026-07-21
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+ **Version:** v0.0.0
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+
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+ ---
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+
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+ ## Executive Summary
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+
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+ 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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+
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+ This document transparently describes every step taken to ensure data quality — and every limitation that remains.
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+
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+ ---
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+
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+ ## 1. Data Provenance
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+
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+ Every entry is traceable to its original source:
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+
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+ | Step | Detail |
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+ |------|--------|
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+ | **Source** | One of three: Materials Project (CC BY 4.0), OQMD (non-commercial), JARVIS-DFT (CC0) |
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+ | **Original ID** | Preserved as `source_id` |
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+ | **Download date** | Recorded in `provenance.download_date` |
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+ | **Processing date** | Recorded in `provenance.processed_at` |
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+ | **Version** | `provenance.version` = "v0.0.0" |
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+ | **Repair history** | `provenance.repairs_applied` — array of all corrections |
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+ | **Duplicate group** | `duplicate_group` — integer linking duplicate entries |
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+
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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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+
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+ ---
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+
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+ ## 2. Validation Pipeline
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+
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+ Eleven sequential gates (G0–G11) determine entry quality:
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+
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+ | Gate | Check | Pass Rate |
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+ |------|-------|-----------|
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+ | G0 | Source integrity | 100% |
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+ | G1 | Structure validity | 100% |
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+ | G2 | Property completeness | ~99.9% |
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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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+ | G6 | Chemical validity | 100% |
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+ | G7 | Label coverage | ~90.4% |
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+ | G8 | Coordinate quality | 100% |
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+ | G9 | Provenance completeness | 100% |
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+ | G10 | Quality score ≥ 80 | 39.2% fail (by design) |
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+ | G11 | No defect flags | 100% |
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+
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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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+
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+ ---
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+
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+ ## 3. Data Repairs
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+
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+ All corrections are logged per-entry with method and confidence:
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+
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+ | Repair | Entries | Method | Confidence |
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+ |--------|---------|--------|------------|
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+ | Coordinate artifacts | 171,780 OQMD | structure_json overwrite | High |
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+ | Space group symmetry | 171,764 OQMD | spglib (11 parallel workers) | High |
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+ | Volume (zero → computed) | 73,480 entries | Lattice vector cross product | High |
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+ | Density (zero → computed) | 47,807 OQMD | Atomic mass / volume | High |
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+
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+ See [REPAIR_AUDIT.md](audit/REPAIR_AUDIT.md) for detailed logs.
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+
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+ ---
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+
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+ ## 4. Quality Scoring
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+
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+ Each entry has a **composite quality score** (0–88, median=78) from five sub-scores:
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+
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+ | Sub-score | Mean | Max | Weight |
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+ |-----------|------|-----|--------|
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+ | Geometry | 16.7/23 | 23 | 23% |
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+ | DFT | 19.7/20 | 20 | 20% |
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+ | Metadata | 11.8/15 | 15 | 15% |
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+ | Novelty | 14.2/15 | 15 | 15% |
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+ | Chemical | 15.0/15 | 15 | 15% |
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+
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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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+ ---
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+
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+ ## 5. Three-Tier System
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+
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+ Entries are stratified into three tiers based on quality:
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+
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+ | Tier | Count | Criteria | Appropriate Use |
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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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+ | **Validated** | 140,382 | All structure/property gates pass | Exploratory analysis, screening |
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+ | **Raw** | 30,108 | Failed one or more gates | Debugging, method development |
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+
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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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+
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+ ---
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+
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+ ## 6. Independent Audits
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+
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+ Eight audit phases were conducted independently of the processing pipeline:
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+
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+ | Phase | Focus | Critical | High |
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+ |-------|-------|----------|------|
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+ | 1 | Raw data integrity | 1 (JARVIS EaH) | 0 |
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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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+ | 4 | Duplicate analysis | 0 | 0 |
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+ | 5 | Repair verification | 0 | 0 |
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+ | 6 | Quality calibration | 0 | 1 (MP-OQMD bias) |
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+ | 7 | Scientific distributions | 0 | 0 |
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+ | 8 | Metadata completeness | 0 | 0 |
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+ | **Total** | **78 checks** | **4** | **3** |
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+
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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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+ ---
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+
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+ ## 7. Known Issues & Limitations
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+
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+ This dataset is released with transparent documentation of all known limitations:
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+
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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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+ - **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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+ - **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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+ - **Conservative scoring**: No entry scores ≥ 90. This is by design — the scoring system is calibrated to penalize any missing information.
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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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+ - **Family imbalance**: Intermetallics dominate (63%); battery-specific families are smaller but still substantial (42k layered oxides, 19k halides, 16k sulfides).
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+
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+ See [KNOWN_ISSUES.md](KNOWN_ISSUES.md) for full details.
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+
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+ ---
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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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+
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+ | Sources | Overlapping Formulas |
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+ |---------|---------------------|
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+ | MP ∩ JARVIS | 11,741 |
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+ | JARVIS ∩ OQMD | 339 |
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+ | MP ∩ OQMD | 225 |
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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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+
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+ ---
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+
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+ ## 9. Battery Relevance
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+ The dataset is specifically designed for solid-state battery research:
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+ | Family | Count | Gold |
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+ |--------|-------|------|
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+ | Layered oxide | 42,015 | 27,246 |
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+ | Halide SSE | 18,803 | 14,174 |
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+ | Sulfide SSE | 16,359 | 13,015 |
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+ | Polyanion | 4,519 | 3,183 |
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+ | NASICON | 560 | 443 |
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+ | Garnet | 23 | 16 |
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+ | Li carriers | 120,644 | 46,864 |
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+
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+ See [BATTERY_AUDIT.md](audit/BATTERY_AUDIT.md).
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+
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+ ---
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+
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+ ## 10. Reproducibility
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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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+ ---
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+
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+ ## 11. Failure Cases
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+ - **16 OQMD entries** failed spglib space group determination (too few atoms, disordered structures)
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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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+ ---
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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.