{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002625953,0.0002075762,0.0003941811,0.0004597123,0.0002997012,0.00004960403,0.0003279662,0.0006898736,0.1290016],"category_scores_gemma":[0.3511394,0.0001653172,0.00008628242,0.001332455,0.000122647,0.0001336689,0.0001086305,0.001564542,0.001090868],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006416268,"about_ca_system_score_gemma":0.06888767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008778173,"about_ca_topic_score_gemma":0.002615155,"domain_scores_codex":[0.9950085,0.0001058529,0.0005868817,0.0003233712,0.003301115,0.000674276],"domain_scores_gemma":[0.931201,0.0001295659,0.00007718717,0.0003093585,0.0003349536,0.0679479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001204808,0.0001783834,0.04082284,0.00003421299,0.0000323985,0.0001478037,0.001348305,0.000001333078,0.000007246095,0.0003134425,0.9488723,0.008229681],"study_design_scores_gemma":[0.002022456,0.0001424797,0.005054815,0.0008818313,0.00004852334,0.0001673743,0.002637049,0.002740864,0.00001262515,0.0002041613,0.9858385,0.0002492944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1878097,0.0005590896,0.0005717825,0.61091,0.001559348,0.0008105422,0.000008351523,0.0003538131,0.1974173],"genre_scores_gemma":[0.5632578,0.00003359426,0.006386491,0.3503763,0.00505512,0.0001751959,0.0003213336,0.0001076593,0.07428654],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.375448,"threshold_uncertainty_score":0.9996869,"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."}}