{"id":"W2053719386","doi":"10.1016/s1607-551x(09)70029-4","title":"Training Standardized Patients for a High‐Stakes Clinical Performance Examination in the California Consortium for the Assessment of Clinical Competence","year":2008,"lang":"en","type":"article","venue":"The Kaohsiung Journal of Medical Sciences","topic":"Innovations in Medical Education","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Standardization; Licensure; Competence (human resources); Medical education; Standardized test; Checklist; Competency assessment; United States Medical Licensing Examination; Objective structured clinical examination; Physical examination; Quality assurance; Family medicine; Medical school; External quality assessment; Psychology; Pathology","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","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0516373,0.0001040245,0.0005045396,0.0000998828,0.0004751502,0.00002043393,0.0009265582,0.00012527,0.00003849184],"category_scores_gemma":[0.02022687,0.00004156435,0.0001804872,0.0005687182,0.002736711,0.0001209825,0.00003320954,0.0007481059,4.576981e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005367635,"about_ca_system_score_gemma":0.002115586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008876804,"about_ca_topic_score_gemma":0.000006721324,"domain_scores_codex":[0.9942774,0.0005708417,0.002067222,0.0001683666,0.002651383,0.0002648567],"domain_scores_gemma":[0.9898793,0.007911253,0.001164409,0.0002130176,0.0007376874,0.00009438612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004785315,0.001255619,0.3719318,0.0001200985,0.0001177503,0.000005269002,0.004122892,0.00007942931,0.00001191067,0.004852833,0.007355179,0.6096687],"study_design_scores_gemma":[0.005009029,0.002695563,0.9531291,0.0004005939,0.0001329353,0.00009895192,0.004059623,0.02679127,0.00002006288,0.0003966897,0.007192078,0.00007406942],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547459,0.00009209623,0.01658672,0.02631743,0.001332448,0.0007684032,0.000009056485,0.000003910407,0.0001440038],"genre_scores_gemma":[0.9875247,0.0004173285,0.009480577,0.001798842,0.0007207021,0.00003789993,0.000004957285,0.000005467278,0.000009501525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6095946,"threshold_uncertainty_score":0.9999773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481826407692956,"score_gpt":0.503336048051185,"score_spread":0.2551534072818895,"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."}}