{"id":"W1754856359","doi":"10.1111/medu.12862","title":"Can <scp>MEDS</scp> in context: a transition to residency innovation","year":2015,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Medical school; Citation; Library science; Medical education; Medicine; Computer science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009065021,0.0002643391,0.0003356173,0.001016073,0.01343722,0.0190703,0.002118603,0.0112924,0.06275568],"category_scores_gemma":[0.02514346,0.0004836669,0.0005796211,0.001304971,0.006195365,0.01143714,0.01381995,0.01393789,0.01021449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006927528,"about_ca_system_score_gemma":0.04366671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008972064,"about_ca_topic_score_gemma":0.0487016,"domain_scores_codex":[0.9896516,0.003209929,0.0002536135,0.000530845,0.001905973,0.004447975],"domain_scores_gemma":[0.9468831,0.003047394,0.001528829,0.0008975554,0.00289448,0.04474856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001671828,0.001850493,0.02531204,0.000259129,0.00002779859,0.002939352,0.03556543,0.000154608,0.0008100627,0.1485855,0.6548566,0.1294719],"study_design_scores_gemma":[0.00008706953,0.0002715164,0.03080448,0.0005050034,0.00002164636,0.001160918,0.09812409,0.0003312339,0.0005266735,0.03295719,0.8351218,0.00008847484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0558299,0.001040858,0.0009391669,0.7549749,0.005486496,0.00009182387,0.0001393425,0.0001436947,0.1813538],"genre_scores_gemma":[0.682911,0.001487721,0.004415402,0.1998311,0.003551918,0.0002082603,0.0002025056,0.0002499038,0.1071423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06275568,"threshold_uncertainty_score":0.2099386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144310192726572,"score_gpt":0.3517780431632773,"score_spread":0.3303349412360116,"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."}}