{"id":"W2907097835","doi":"10.1007/978-3-319-98276-2_11","title":"Use of Simulation in High-Stakes Summative Assessments in Surgery","year":2019,"lang":"en","type":"book-chapter","venue":"Comprehensive healthcare simulation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Summative assessment; Credentialing; Certification; Competence (human resources); Engineering ethics; Board certification; Medical education; Computer science; Formative assessment; Psychology; Medicine; Engineering; Pedagogy; Political science; Social psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002459415,0.0004360405,0.001474842,0.001181866,0.00003803067,0.00002024372,0.00005711654,0.0006573242,0.0002355112],"category_scores_gemma":[0.0003041596,0.0004580106,0.0002374469,0.0002515805,0.00007411286,0.0002829403,0.00004499437,0.0006982614,0.00003872598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005279345,"about_ca_system_score_gemma":0.0004336422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004121891,"about_ca_topic_score_gemma":0.0002456199,"domain_scores_codex":[0.996652,0.0002001015,0.001524181,0.0006025269,0.0006820362,0.0003391173],"domain_scores_gemma":[0.9913006,0.006288718,0.0008061457,0.0004489059,0.00101087,0.00014479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001002042,0.00008093134,0.08626,0.0009243711,0.00006578406,0.00004816944,0.0002817202,0.8743819,0.000008060647,0.004381806,0.000008282787,0.03255691],"study_design_scores_gemma":[0.003717904,0.0002613641,0.4070337,0.004707172,0.00006739553,0.000001808992,0.0001038507,0.5638328,0.000008910286,0.002100383,0.01762242,0.0005423204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754528,0.001194499,0.001710757,0.0006457001,0.001307259,0.005667198,0.0002242665,0.0001886427,0.01360892],"genre_scores_gemma":[0.9935924,0.0001066912,0.0001941289,0.0004599909,0.00009885637,0.000007506293,0.001237036,0.00008689422,0.004216511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3207737,"threshold_uncertainty_score":0.9997872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2632728364425229,"score_gpt":0.4102639749944201,"score_spread":0.1469911385518973,"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."}}