{"id":"W1748679834","doi":"10.3109/0142159x.2015.1045847","title":"Investigating Canadian medical school attrition metrics to inform socially accountable admissions planning","year":2015,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Medical Education and Admissions","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Attrition; Psychology; Medical education; Medical school; MEDLINE; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02362273,0.0005715229,0.0007985754,0.01111756,0.004782023,0.004055189,0.00320712,0.0005429806,0.004225514],"category_scores_gemma":[0.08654512,0.0003066933,0.0008898926,0.01585101,0.0008480662,0.001786687,0.004418773,0.00146554,0.0004539248],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06477612,"about_ca_system_score_gemma":0.1287239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662127,"about_ca_topic_score_gemma":0.9774458,"domain_scores_codex":[0.9814302,0.00310966,0.001179018,0.0009055967,0.01005332,0.003322294],"domain_scores_gemma":[0.9207136,0.009401251,0.01467111,0.002112076,0.04540835,0.00769359],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070797,0.00009201902,0.8989223,0.0002444127,0.00009340012,0.00003333592,0.002730841,0.001568113,0.00009532306,0.002720413,0.01625498,0.07713778],"study_design_scores_gemma":[0.0000147026,0.00007073424,0.9785216,0.0002433962,0.00004400936,0.00001387113,0.004070657,0.004394983,0.0002184625,0.0006009149,0.01176354,0.00004310697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900019,0.002609418,0.009557345,0.01813966,0.0002004881,0.001069311,0.02530745,0.0005541593,0.04254302],"genre_scores_gemma":[0.9830041,0.0006764046,0.006685191,0.0003870708,0.00003788777,0.000359638,0.006578212,0.00004538635,0.002226146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9763772,"threshold_uncertainty_score":0.4699858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589749554028775,"score_gpt":0.4220256688671617,"score_spread":0.2630507134642842,"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."}}