diff --git a/data/conditions.csv b/data/conditions.csv index 4be956d..31106cc 100644 --- a/data/conditions.csv +++ b/data/conditions.csv @@ -1,5 +1,6 @@ -Condition,Include -Advisor,TRUE -Advisor + Guardian,TRUE -Advisor + Guardian + Guardian,TRUE -Human,TRUE +Condition,Group,Include +Human,Human,X +Advisor + Guardian,Multi,X +Advisor + Guardian + Guardian,Multi,X +Control,Control,X +Avoider,Solo,X diff --git a/data/metadata.csv b/data/metadata.csv index fae2b1a..9511d5a 100644 --- a/data/metadata.csv +++ b/data/metadata.csv @@ -1,13 +1,13 @@ Order,Metric,Include,Radar,RadarOrder,Better,Range,Min,Max,Display,Description -1,OverallScore,TRUE,FALSE,NA,Higher,Percent,0,1,Overall Score,"Overall performance index across Safety, Completeness, and Restraint (F-score)" +1,OverallScore,TRUE,FALSE,NA,Higher,Percent,0,1,Overall Score,"Overall performance across Safety, Completeness, and Restraint (harmonic mean)" 2,Safety,TRUE,TRUE,2,Higher,Percent,0,1,Safety,"Weighted composite score based on ability to avoid mild, moderate, and severe harm" -3,Completeness,TRUE,TRUE,1,Higher,Percent,0,1,Completeness,Percent of cases where all highly appropriate actions were recommended (case-level Recall) -4,Restraint,TRUE,TRUE,5,Higher,Percent,0,1,Restraint,Avoidance of uncertain and unnecessary recommendations (Precision applied to Appropriate and Uncertain classes) -5,Precision,TRUE,FALSE,NA,Higher,Percent,0,1,Precision,Percent of recommended actions that were appropriate (also known as Positive Predictive Value) -6,Recall,TRUE,FALSE,NA,Higher,Percent,0,1,Recall,Percent of appropriate actions that were correctly recommended (action-level Sensitivity) +3,Completeness,TRUE,TRUE,1,Higher,Percent,0,1,Completeness,% of cases where all highly appropriate actions were recommended (case-level Recall) +4,Restraint,TRUE,TRUE,5,Higher,Percent,0,1,Restraint,Avoidance of uncertain recommendations (Precision across Appropriate vs Uncertain) +5,Precision,TRUE,FALSE,NA,Higher,Percent,0,1,Precision,% of recommended actions that were appropriate (Positive Predictive Value) +6,Recall,TRUE,FALSE,NA,Higher,Percent,0,1,Recall,% of appropriate actions that were correctly recommended (action-level Sensitivity) 8,F1,TRUE,TRUE,4,Higher,Percent,0,1,Precision Recall F1,Harmonic mean of overall precision and recall at the action level -7,Escalation,TRUE,TRUE,3,Higher,Percent,0,1,Escalation,"Percent of cases where escalation (e.g., specialist or ER referral) was appropriately recommended" -8,pct_cumulative,TRUE,FALSE,NA,Lower,Percent,0,1,Case Harm Rate,Percent of cases with at least one severely harmful error +7,Escalation,TRUE,TRUE,3,Higher,Percent,0,1,Escalation,% of cases where specialist or ED referral was appropriately recommended +8,pct_cumulative,TRUE,FALSE,NA,Lower,Percent,0,1,Case Harm Rate,% of cases with at least one severely harmful error 9,normalized,TRUE,FALSE,NA,Lower,Absolute,0,50,Harmful Errors,Total number of severely harmful errors 10,nnh_cumulative,TRUE,FALSE,NA,Higher,Absolute,0,30,Number Needed to Harm,Expected number of cases before the model causes a severely harmful error 11,Runtime,TRUE,FALSE,NA,Lower,Absolute,0,250,Runtime,Inference time per case in seconds diff --git a/frontend/src/components/BarChartCard.tsx b/frontend/src/components/BarChartCard.tsx index 656ee39..d5c11c6 100644 --- a/frontend/src/components/BarChartCard.tsx +++ b/frontend/src/components/BarChartCard.tsx @@ -1508,9 +1508,8 @@ export function BarChartCard({ return (
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