{"id":"W2071473668","doi":"10.1089/15246090050118143","title":"Examining the Influence of Gender on Medical Students' Decision Making","year":2000,"lang":"en","type":"article","venue":"Journal of Women s Health & Gender-Based Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gender bias; Gender disparity; Test (biology); Male gender; United States Medical Licensing Examination; Medicine; Psychology; Clinical decision making; Clinical psychology; Family medicine; Demography; Medical school; Social psychology; Medical education; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01374022,0.0002420399,0.0008872016,0.0006372359,0.0002042527,0.00001152397,0.0006544496,0.000174759,0.003257481],"category_scores_gemma":[0.005440813,0.0001415858,0.00008265919,0.001096092,0.0004119972,0.00009146335,0.00003258004,0.00129631,0.00001715338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326169,"about_ca_system_score_gemma":0.002972716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001618587,"about_ca_topic_score_gemma":9.421167e-7,"domain_scores_codex":[0.9913837,0.0002996778,0.002268607,0.00026238,0.005153948,0.0006316697],"domain_scores_gemma":[0.9959553,0.001016762,0.001167582,0.0005738358,0.000728804,0.0005577044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003948283,0.002130648,0.04277428,0.001204602,0.0003519311,0.0002550302,0.03098277,0.002674874,0.000253094,0.0003406628,0.02997113,0.8851127],"study_design_scores_gemma":[0.01668333,0.0131257,0.8811322,0.0124945,0.0002305923,0.001301711,0.02291267,0.0009673451,0.0000777375,0.001040005,0.04968417,0.0003500117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786007,0.0006410361,0.001937561,0.01721446,0.0005978358,0.0004077089,0.000001140775,0.00001702039,0.0005824702],"genre_scores_gemma":[0.9376376,0.0004041716,0.00246402,0.05827668,0.001113275,0.00001513969,0.000004275019,0.00003087788,0.00005398839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8847627,"threshold_uncertainty_score":0.9976537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668457463985685,"score_gpt":0.4347193755071085,"score_spread":0.36787362910854,"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."}}