{"id":"W2406026011","doi":"10.47102/annals-acadmedsg.v43n11p544","title":"When Traditional Model Meets Competencies in Singapore: Beyond Conflict Resolution","year":2014,"lang":"en","type":"article","venue":"Annals of the Academy of Medicine Singapore","topic":"Innovations in Medical Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"National University Health System","keywords":"Graduate medical education; Accreditation; Blueprint; Core competency; Medicine; Medical education; Curriculum; Health care; Competence (human resources); Process (computing); Psychology; Pedagogy; Computer science; Management; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650591,0.0001942422,0.0005893183,0.0003895617,0.00009732442,0.000002742016,0.0003729715,0.0002521164,0.00009923433],"category_scores_gemma":[0.003450244,0.0001353522,0.0001147707,0.0006086783,0.001409643,0.0001290196,0.00006092122,0.000718161,0.000002113222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004969667,"about_ca_system_score_gemma":0.0001604588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000550126,"about_ca_topic_score_gemma":0.000002349997,"domain_scores_codex":[0.9972773,0.0001423703,0.001040838,0.0002693535,0.0009708056,0.0002992868],"domain_scores_gemma":[0.9984856,0.0001952029,0.0005950073,0.0003198891,0.0003191008,0.00008515949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004403045,0.0008986896,0.00902268,0.0009861555,0.0001793354,0.000001315002,0.008339647,0.002115508,0.03986837,0.3438404,0.5709724,0.02333527],"study_design_scores_gemma":[0.009383945,0.001530629,0.1743233,0.009193708,0.0004856616,0.0002150238,0.00215358,0.2460871,0.03368693,0.3849435,0.1372625,0.000734209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5481194,0.0006800778,0.0006030854,0.4434098,0.0002855851,0.0004492307,0.00001204494,0.00003043967,0.006410334],"genre_scores_gemma":[0.9776205,0.0001164271,0.004399987,0.0169201,0.0005237591,0.00001224771,0.00006063058,0.0000222059,0.0003240854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4337099,"threshold_uncertainty_score":0.5519503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556440837826499,"score_gpt":0.3717305300202807,"score_spread":0.2160864462376308,"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."}}