{"id":"W2060379444","doi":"10.1097/00001888-200506000-00007","title":"Incorporating Simulation Technology in a Canadian Internal Medicine Specialty Examination: A Descriptive Report","year":2005,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Royal College of Physicians and Surgeons of Canada; University of British Columbia","funders":"","keywords":"Physical examination; Auscultation; Specialty; Competence (human resources); Medicine; Competency assessment; Objective structured clinical examination; Medical physics; Medical education; Physical therapy; Family medicine; Surgery; Internal medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002347114,0.0002710731,0.0005925117,0.002251624,0.0001283908,0.000003453594,0.0002007663,0.0005484933,0.001224798],"category_scores_gemma":[0.005247404,0.0002391702,0.00002742846,0.001771027,0.0004323992,0.0002153797,0.00002924314,0.001386724,0.0000700669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002807579,"about_ca_system_score_gemma":0.001503188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08557373,"about_ca_topic_score_gemma":0.03797544,"domain_scores_codex":[0.9965534,0.0001311707,0.001534884,0.000559092,0.0006559816,0.0005655003],"domain_scores_gemma":[0.9970515,0.0005490088,0.0005305853,0.0004616394,0.0007605624,0.0006466767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007663036,0.00001945526,0.9497143,0.00009916566,0.00002771311,0.0003247374,0.02077796,0.001804078,0.0003645659,0.004101431,0.004966522,0.01772345],"study_design_scores_gemma":[0.00744159,0.0007991217,0.8211432,0.004936303,0.0001799922,0.001838989,0.03094116,0.08189313,0.0004025353,0.007152121,0.04268238,0.0005894813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302763,0.001461711,0.001352479,0.1510448,0.001046433,0.00115159,0.000003200937,0.0001633567,0.0135002],"genre_scores_gemma":[0.9890086,0.00005108991,0.0005408734,0.003421711,0.004755727,0.00007741747,0.0001783206,0.00003953094,0.0019267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1587324,"threshold_uncertainty_score":0.9996882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06163478579892118,"score_gpt":0.3983301178936764,"score_spread":0.3366953320947553,"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."}}