{"id":"W2803033711","doi":"10.1002/aet2.10103","title":"Clinical Cadavers as a Simulation Resource for Procedural Learning","year":2018,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Competence (human resources); Computer science; Medical simulation; Simulation training; Fidelity; Simulation; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004760708,0.00009555845,0.0001767432,0.0000790464,0.0002396707,0.00003319984,0.00002627165,0.00009069512,0.0001588833],"category_scores_gemma":[0.001206052,0.00008832074,0.00007100015,0.0001396561,0.0001064083,0.00008100187,0.000009062101,0.00015738,0.00002455579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002103432,"about_ca_system_score_gemma":0.0002637436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006056377,"about_ca_topic_score_gemma":0.000002136066,"domain_scores_codex":[0.9991121,0.00004357516,0.0002849685,0.0002571852,0.0001234699,0.0001786812],"domain_scores_gemma":[0.9989643,0.0004957591,0.0000934385,0.00008030175,0.0001737161,0.0001924899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003106251,0.0001332975,0.02324265,0.00003388274,0.00004098616,7.90381e-7,0.007068183,0.0001772695,0.00002232794,0.002099705,0.000225445,0.9666448],"study_design_scores_gemma":[0.004560019,0.0008863986,0.1004796,0.0001601428,0.000107418,0.00004287693,0.01273734,0.06302235,0.00004188241,0.0006056426,0.8171365,0.0002198718],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539391,0.00004976545,0.0009519945,0.001249267,0.0002854946,0.0003484017,5.395855e-7,0.0001150516,0.04306035],"genre_scores_gemma":[0.9914526,0.000003731461,0.001898225,0.003085518,0.0009446652,0.00002145975,0.00004604804,0.00001910137,0.002528618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9664249,"threshold_uncertainty_score":0.3601615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09476504171383397,"score_gpt":0.4394795457949798,"score_spread":0.3447145040811458,"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."}}