{"id":"W1967717081","doi":"10.1097/acm.0b013e318065b4ba","title":"The Need to Restructure MD???PhD Training","year":2007,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Restructuring; Medical education; Psychology; Computer science; Medicine; Business; Geography; Finance","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006772881,0.0001606306,0.000207805,0.0005227826,0.003641268,0.003404515,0.001468318,0.005608177,0.01704463],"category_scores_gemma":[0.02091929,0.0003392735,0.000440526,0.0004847204,0.0024717,0.003576712,0.003112821,0.00452837,0.003175921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0023507,"about_ca_system_score_gemma":0.008115092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006050549,"about_ca_topic_score_gemma":0.02933026,"domain_scores_codex":[0.9958876,0.00122927,0.0003209106,0.0004270335,0.0009434345,0.001191722],"domain_scores_gemma":[0.9760914,0.005018068,0.002280105,0.001025059,0.002776064,0.01280924],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006036445,0.0002472753,0.03153181,0.0003703912,0.00002284328,0.000474966,0.002454617,0.0001554521,0.0008006502,0.009841731,0.7535239,0.200516],"study_design_scores_gemma":[0.00004067733,0.0001190333,0.04500981,0.0004674248,0.00002103655,0.0008451547,0.006403377,0.0001178263,0.0003579149,0.003231243,0.9433416,0.00004472335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02675953,0.005614782,0.0006404087,0.9273748,0.01764676,0.0000306976,0.000164039,0.0001000839,0.02166893],"genre_scores_gemma":[0.3101901,0.01213109,0.003560502,0.6147229,0.02997773,0.0001485518,0.0004772313,0.0002002921,0.02859177],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9932271,"threshold_uncertainty_score":0.05702001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3042373414204941,"score_gpt":0.5077161271569686,"score_spread":0.2034787857364744,"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."}}