{"id":"W2900675991","doi":"10.17496/kmer.2017.19.2.63","title":"Concept and Development of Resident Training Program for General Competencies","year":2017,"lang":"en","type":"article","venue":"Korean Medical Education Review","topic":"Innovations in Medical Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Training system; Medical education; Psychology; Medicine; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00114119,0.0001151505,0.0004101078,0.00006207221,0.0002557804,0.00002077722,0.0001947858,0.00008591246,0.0004619698],"category_scores_gemma":[0.009843987,0.00009129497,0.00004889652,0.00008340199,0.0004194443,0.00006775306,0.00004128518,0.0001581415,0.000004195349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006015636,"about_ca_system_score_gemma":0.003984547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001580885,"about_ca_topic_score_gemma":0.00000598696,"domain_scores_codex":[0.9983885,0.00003010058,0.0006765252,0.000215149,0.0005166871,0.0001730558],"domain_scores_gemma":[0.9985279,0.00004697379,0.0003672967,0.0003952787,0.0004612386,0.0002013196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004575359,0.0002469936,0.0004360979,0.002537751,0.00002568742,3.40003e-7,0.001431771,5.515798e-9,0.00001137506,0.004138867,0.03035523,0.9608113],"study_design_scores_gemma":[0.000971182,0.0001765625,0.05445923,0.0154561,0.0001595739,0.0000785791,0.001237285,0.0001297349,0.0002614416,0.0003247152,0.9265522,0.0001933838],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6030474,0.1228699,0.005734659,0.2386719,0.004789104,0.01312212,0.00001274637,0.0002607896,0.01149146],"genre_scores_gemma":[0.1193975,0.01714371,0.8276893,0.02787052,0.0017947,0.002843397,0.0008789804,0.00006399066,0.002317837],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9606179,"threshold_uncertainty_score":0.9984965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06919081574504872,"score_gpt":0.4384421314828338,"score_spread":0.3692513157377851,"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."}}