{"id":"W37194264","doi":"10.1017/s0022149x23000226","title":"From Med School: Shoes, Window Screens, and Meat","year":2004,"lang":"en","type":"article","venue":"Medscape general medicine","topic":"Musicians’ Health and Performance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Window (computing); Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003627209,0.0003334542,0.0007248465,0.0002009353,0.0001616292,0.00001209839,0.000138052,0.0002001011,0.001569207],"category_scores_gemma":[0.0003324741,0.0002375461,0.00005065785,0.0003589425,0.0002411273,0.0001197692,0.0000520678,0.0004811246,0.0001416293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008930524,"about_ca_system_score_gemma":0.0003010054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003523713,"about_ca_topic_score_gemma":0.0004356285,"domain_scores_codex":[0.9976047,0.00004770548,0.0005510051,0.0005163161,0.0006701783,0.0006101354],"domain_scores_gemma":[0.9980106,0.00006261387,0.0001121997,0.000527621,0.0001440952,0.001142852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003858928,0.000574226,0.2388137,0.001449897,0.0006662933,0.001243148,0.006550018,0.0001223327,0.22178,0.002834427,0.35168,0.1704271],"study_design_scores_gemma":[0.03141766,0.002926195,0.5572069,0.002623643,0.0006847414,0.0004991877,0.0009131149,0.0007667249,0.01202024,0.001960067,0.3880692,0.0009122785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283293,0.01173503,0.0002667657,0.04986854,0.00185532,0.0006172591,0.00002148291,0.0001439917,0.007162255],"genre_scores_gemma":[0.9298753,0.002921629,0.005937549,0.04036691,0.01801407,0.00003985218,0.0003845925,0.00007156024,0.002388537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3183932,"threshold_uncertainty_score":0.9993435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291182575540215,"score_gpt":0.2919703424915837,"score_spread":0.2690585167361815,"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."}}