{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006803484,0.000727722,0.0003459759,0.002014984,0.001257972,0.00357757,0.001901099,0.001604491,0.0547468],"category_scores_gemma":[0.008280893,0.0006207938,0.0006452454,0.001219952,0.001550377,0.002628128,0.005170252,0.002174892,0.01379662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009080725,"about_ca_system_score_gemma":0.004286319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180867,"about_ca_topic_score_gemma":0.004134168,"domain_scores_codex":[0.9968831,0.00182291,0.0002182513,0.0001298074,0.0008065581,0.0001392691],"domain_scores_gemma":[0.9936675,0.00204208,0.0002992988,0.002410882,0.0006893292,0.0008908787],"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":[0.0005245198,0.001062796,0.006782956,0.0009991631,0.00007072878,0.004205334,0.003384158,0.01574777,0.01175295,0.1296455,0.2273476,0.5984766],"study_design_scores_gemma":[0.000130055,0.0006719498,0.002646643,0.001888336,0.00005287567,0.007433144,0.001608318,0.00823263,0.006063712,0.03306382,0.9381002,0.0001083119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05726952,0.009843271,0.400266,0.02112233,0.005316819,0.002047791,0.003792,0.006122326,0.49422],"genre_scores_gemma":[0.2841341,0.01950436,0.58187,0.00629143,0.001419521,0.001617445,0.005339376,0.001669483,0.09815428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0547468,"threshold_uncertainty_score":0.1831463,"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."}}