{"id":"W3092042609","doi":"10.36834/cmej.68632","title":"Locker (operating) room talk: Gender equity and the medical student’s perspective","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gender equity; Equity (law); Perspective (graphical); Computer science; Political science; Demographic economics; Economics; Artificial intelligence; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.007668636,0.0003422757,0.0003691173,0.0008972731,0.0141514,0.008363795,0.0008382813,0.007000911,0.01569305],"category_scores_gemma":[0.01223627,0.000243453,0.0003358837,0.0006440842,0.01833132,0.008636156,0.005899953,0.01114882,0.0009379713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005398593,"about_ca_system_score_gemma":0.008315775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01887602,"about_ca_topic_score_gemma":0.03882606,"domain_scores_codex":[0.9937687,0.00394626,0.0001003589,0.0002449507,0.000636639,0.001303168],"domain_scores_gemma":[0.9892265,0.006063185,0.0006680517,0.0001280144,0.0006362871,0.003277952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000171912,0.0001396952,0.006658218,0.0002930039,0.00002108899,0.001940692,0.3842506,0.00009638421,0.0006535476,0.2238791,0.323911,0.05798477],"study_design_scores_gemma":[0.00003265191,0.000139037,0.00607464,0.001140123,0.00001857787,0.001595677,0.4412905,0.0001149337,0.0003459272,0.03513054,0.5140347,0.00008251623],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0359763,0.02343182,0.0006052463,0.8595329,0.00724171,0.00001105278,0.00005588021,0.00001608233,0.07312898],"genre_scores_gemma":[0.6766553,0.01781474,0.0003251146,0.2640944,0.007688185,0.00003420274,0.00002670121,0.00008072339,0.03328061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01887602,"threshold_uncertainty_score":0.05249846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621692155359066,"score_gpt":0.3848572670134668,"score_spread":0.3586403454598762,"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."}}