{"id":"W4407674404","doi":"10.1177/0272989x251314010","title":"Expected Value of Sample Information Calculations for Risk Prediction Model Validation","year":2025,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"Sample size determination; False positive paradox; Statistics; Population; Computer science; Sample (material); Computation; Econometrics; Data mining; Mathematics; Algorithm; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04227733,0.002150246,0.001853601,0.003617831,0.0008168183,0.002508728,0.002521309,0.001782413,0.005228698],"category_scores_gemma":[0.2671725,0.0009478267,0.002143473,0.002134186,0.001988668,0.002878144,0.002722285,0.003988604,0.0007562029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101255,"about_ca_system_score_gemma":0.003515692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578791,"about_ca_topic_score_gemma":0.001995072,"domain_scores_codex":[0.9732935,0.01882688,0.00150389,0.00147479,0.004546048,0.0003548104],"domain_scores_gemma":[0.7193431,0.2503083,0.007940591,0.01301197,0.008763621,0.0006323798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008249604,0.0003119796,0.02657182,0.001024742,0.001057248,0.0003299347,0.000424474,0.6396191,0.002081507,0.07578808,0.008218613,0.2437476],"study_design_scores_gemma":[0.0001776737,0.0003898649,0.003674197,0.0003785583,0.0001783679,0.0002316907,0.00007381778,0.9155129,0.004624326,0.06994238,0.004740468,0.00007565586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01427856,0.0006741404,0.9813028,0.0004297403,0.00009172882,0.000404612,0.0003364167,0.0007075891,0.001774393],"genre_scores_gemma":[0.2885831,0.0006125417,0.706239,0.0003965309,0.0001443291,0.001687234,0.0008875448,0.0004452814,0.001004526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04227733,"threshold_uncertainty_score":0.2235866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077751694750198,"score_gpt":0.4581390370143673,"score_spread":0.2503638675393475,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}