{"id":"W2543992710","doi":"10.1136/bmjstel-2016-000131","title":"Impact of providing case-specific knowledge in simulation: a theory based study of learning","year":2016,"lang":"en","type":"article","venue":"BMJ Simulation & Technology Enhanced Learning","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Memorial Chiropractic College","funders":"","keywords":"Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0257868,0.0006283829,0.0007270905,0.003273088,0.001162782,0.002785246,0.002391214,0.001291154,0.003397612],"category_scores_gemma":[0.09338688,0.0005556623,0.00132232,0.001225273,0.003101718,0.003132582,0.002750293,0.001960081,0.0002775357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006018547,"about_ca_system_score_gemma":0.003766122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239082,"about_ca_topic_score_gemma":0.002309102,"domain_scores_codex":[0.9846357,0.01114586,0.0005409276,0.0005996237,0.002292942,0.0007849237],"domain_scores_gemma":[0.8719038,0.1181399,0.003838867,0.001806367,0.002254768,0.002056177],"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":[0.004390601,0.125493,0.235186,0.003811804,0.000996237,0.0009026111,0.2478588,0.01902101,0.001621379,0.0149786,0.001725595,0.3440145],"study_design_scores_gemma":[0.005750305,0.1249974,0.3960957,0.007376779,0.002090887,0.001564046,0.2999075,0.112911,0.005836867,0.03019129,0.01283546,0.0004428515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952853,0.0001866419,0.001484437,0.0002729672,0.00001426819,0.0006471918,0.00001235954,0.000008652511,0.002088242],"genre_scores_gemma":[0.9966742,0.0003988932,0.002044086,0.00008900247,0.000008464581,0.0004424393,0.0000192276,0.000004118707,0.0003195656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0257868,"threshold_uncertainty_score":0.1363752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302800547264409,"score_gpt":0.4329296637532851,"score_spread":0.379901658280641,"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."}}