{"id":"W2419152356","doi":"10.1097/acm.0000000000000954","title":"Identifying and Promoting Best Practices in Residency Application and Selection in a Complex Academic Health Network","year":2015,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stakeholder; Medical education; Workforce; Best practice; Specialty; Selection (genetic algorithm); Personnel selection; Psychology; Public relations; Medicine; Political science; Family medicine; Computer science; Management","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":["metaresearch"],"category_scores_codex":[0.3022724,0.0007856244,0.001122182,0.01046247,0.0132986,0.01718593,0.007004014,0.003154287,0.001110146],"category_scores_gemma":[0.3473804,0.001278535,0.001113935,0.009019823,0.01055826,0.00775393,0.01990184,0.00596595,0.0004976215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03198145,"about_ca_system_score_gemma":0.1499279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03844799,"about_ca_topic_score_gemma":0.1271587,"domain_scores_codex":[0.6509962,0.2554679,0.02502584,0.01159337,0.0464318,0.010485],"domain_scores_gemma":[0.5865433,0.2148106,0.05926957,0.03502929,0.07743726,0.02690992],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009524894,0.001028659,0.112384,0.003447976,0.0002420717,0.0007825238,0.180126,0.003366914,0.002317879,0.0104081,0.02414328,0.6616575],"study_design_scores_gemma":[0.0002604716,0.001859963,0.303633,0.02352834,0.0004976979,0.00132035,0.4248106,0.01451189,0.01072495,0.04064133,0.1774648,0.0007465116],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4411617,0.01095185,0.1649851,0.3241759,0.00132383,0.009336413,0.0002993548,0.00167508,0.04609076],"genre_scores_gemma":[0.6169326,0.005859355,0.3605585,0.011193,0.0002618511,0.002771634,0.0001960364,0.000164781,0.002062241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6977276,"threshold_uncertainty_score":0.8604223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303857901077235,"score_gpt":0.4984388706157657,"score_spread":0.2680530805080422,"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."}}