{"id":"W4367174836","doi":"10.1111/medu.15106","title":"On‐call absences and academic recognition: A retrospective cohort analysis","year":2023,"lang":"en","type":"review","venue":"Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Odds ratio; Confidence interval; Medicine; Odds; Demography; Retrospective cohort study; Cohort; Family medicine; Logistic regression; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001784634,0.0004988453,0.0006612269,0.001105254,0.001003176,0.001069202,0.0008773136,0.0005213892,0.001561449],"category_scores_gemma":[0.003451562,0.001029613,0.001173009,0.001862007,0.0005129398,0.0007908138,0.001072656,0.001037203,0.0002956934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263724,"about_ca_system_score_gemma":0.001716713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03573737,"about_ca_topic_score_gemma":0.03891891,"domain_scores_codex":[0.9985252,0.0002280756,0.0001928845,0.0004200865,0.0003101713,0.0003236428],"domain_scores_gemma":[0.9969752,0.0003249547,0.001427977,0.0004482656,0.000316981,0.0005067203],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009710591,0.0000268483,0.9991217,0.00001134811,0.00008644474,0.0000667261,0.00007305819,0.00002499956,0.00003905447,0.00001051435,0.0001188675,0.0003233611],"study_design_scores_gemma":[0.00001669364,0.0001541649,0.9985933,0.00002217982,0.000105443,0.0003187782,0.0002782457,0.0002327432,0.00002819655,0.00001746261,0.0002233299,0.000009458578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998551,0.0002700918,0.0001470324,0.00002518558,0.000009326741,0.00003260106,0.000792878,0.000003815255,0.0001681796],"genre_scores_gemma":[0.9986202,0.0001980827,0.0001257675,0.00003066907,0.00001264284,0.0000379816,0.0008497268,0.000004645372,0.0001203949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982154,"threshold_uncertainty_score":0.07105869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08058030926008565,"score_gpt":0.4325627788878303,"score_spread":0.3519824696277447,"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."}}