id stringclasses 8
values | cohort_anchor stringclasses 3
values | baseline_profile stringclasses 8
values | early_window stringclasses 1
value | early_signals stringclasses 8
values | signal_deltas stringclasses 8
values | volatility_markers stringclasses 3
values | predicted_topology stringclasses 5
values | basin_shift_confidence_0_100 int64 60 88 | key_early_signals stringclasses 8
values | failure_signature stringclasses 1
value | constraints stringclasses 1
value | gold_checklist stringclasses 8
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
RTT-BS-001 | post-appendectomy day0 | 32M, low comorbidity | D1-D3 | Steps=800->900; Pain=7->6; Sleep=5.5->5.8 | small_positive | low_volatility | steady_ascent | 82 | consistent step gain; pain drop | none | Under 160 words. | 1 ascent early |
RTT-BS-002 | post-appendectomy day0 | 40F, mild anxiety | D1-D3 | Steps=600->650; Pain=8->7.8; Sleep=4.5->4.6 | near_flat | low_volatility | plateau_then_jump | 64 | minimal early gains | none | Under 160 words. | 1 plateau early |
RTT-BS-003 | post-influenza day0 | 28F, athlete | D1-D3 | Steps=2000->900; HRV=62->45; Fatigue=4->6 | negative_spike | high_volatility | decline_then_rebound | 76 | early crash; HRV drop | none | Under 160 words. | 1 early crash |
RTT-BS-004 | post-influenza day0 | 52M, work stress | D1-D3 | Steps=2500->5000->1800; Sleep=6.5->4.8 | oscillating | high_volatility | oscillatory | 80 | alternating steps; sleep fragmentation | none | Under 160 words. | 1 oscillation |
RTT-BS-005 | post-knee-arthroscopy day0 | 61F, obesity | D1-D3 | Steps=300->400; Pain=7->7 | flat | low_volatility | stalled_decline | 71 | no mobility gain; pain static | none | Under 160 words. | 1 stall |
RTT-BS-006 | post-knee-arthroscopy day0 | 35M, low comorbidity | D1-D3 | Steps=900->2500; Pain=6->3 | large_positive | moderate_volatility | steady_ascent | 88 | large early mobility gain | none | Under 160 words. | 1 ascent |
RTT-BS-007 | post-appendectomy day0 | 44F, caregiver stress | D1-D3 | Steps=700->800; Sleep=5->4.5; Mood=5->4 | mixed_direction | moderate_volatility | stalled_decline | 60 | sleep and mood drop | none | Under 160 words. | 1 psych decline |
RTT-BS-008 | post-influenza day0 | 30M, variable adherence | D1-D3 | Steps=1500->3000->800 | spike_crash | high_volatility | oscillatory | 83 | overexertion spike then crash | none | Under 160 words. | 1 spike crash |
What this dataset tests
Whether early recovery signals
predict the later recovery topology.
It focuses on the first days, not weeks.
Early signals include
- mobility trend
- sleep fragmentation
- HRV shifts
- fatigue volatility
- mood direction
Outputs
- predicted recovery topology
- basin-shift confidence
- key early signals
Typical failures
- ignoring early crashes
- mistaking flat early signals for steady ascent
- missing volatility that predicts oscillation
Suggested prompt wrapper
System
You detect early basin-shift signals.
User
Early Signals
{early_signals}
Signal Deltas
{signal_deltas}
Volatility Markers
{volatility_markers}
Return
- predicted topology
- confidence score
- one sentence naming the key early signal
Citation
ClarusC64 dataset family
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