{"id":"W4200276142","doi":"10.1302/3114-210133","title":"COA/CORA ICL: Practical Strategies to Enhance Diversity and Physician Wellness in Canadian Orthopaedics: Questions & Answers","year":2021,"lang":"en","type":"dataset","venue":"OrthoMedia","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Medical education; Medicine; Library science; Gerontology; Sociology; Computer science; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397037,0.002077126,0.001437586,0.005629302,0.001680435,0.002826414,0.003760262,0.003139906,0.0839755],"category_scores_gemma":[0.01941228,0.0007579882,0.002956647,0.008432455,0.0005575996,0.001277514,0.003329865,0.002102979,0.04303707],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007616595,"about_ca_system_score_gemma":0.0154662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6410031,"about_ca_topic_score_gemma":0.8340273,"domain_scores_codex":[0.9980567,0.000285553,0.0002245276,0.0003445231,0.0005955676,0.0004930851],"domain_scores_gemma":[0.9898314,0.002960644,0.0008801335,0.00103282,0.003945181,0.001349749],"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":[0.00005039662,0.00001171131,0.001919025,0.000553043,0.00002542157,0.000008857556,0.0000273556,0.0001594551,0.00001929549,0.0002159636,0.9953043,0.001705051],"study_design_scores_gemma":[0.0009717613,0.00003551269,0.03124931,0.00169115,0.0001535363,0.00004174768,0.0003822536,0.00147665,0.0002657513,0.002023255,0.9616233,0.00008566452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001222185,0.00006276915,0.00002631241,0.0001646321,0.00001848642,0.00001744443,0.9990388,0.0001083418,0.000440898],"genre_scores_gemma":[0.0008680963,0.00008639745,0.000467777,0.0001643888,0.00001872968,0.0001587705,0.9972532,0.00004993896,0.0009326664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9923834,"threshold_uncertainty_score":0.7222222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530301019794315,"score_gpt":0.339633700863748,"score_spread":0.3143306906658049,"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."}}