{"id":"W2616508356","doi":"10.1017/cem.2017.82","title":"LO20: Student Run Simulation Team: A near-peer approach to simulation education","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Debriefing; Curriculum; Medical education; Trainer; Task (project management); Simulated patient; Psychology; Medicine; Computer science; Pedagogy; Engineering","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":[0.004848945,0.0006584586,0.0004730242,0.0009273982,0.001466733,0.002776216,0.003270244,0.001568065,0.0815061],"category_scores_gemma":[0.01725577,0.0004721879,0.0005454063,0.0002936557,0.0005960356,0.002143957,0.00745379,0.002322015,0.02647452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217613,"about_ca_system_score_gemma":0.004799579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089758,"about_ca_topic_score_gemma":0.004516054,"domain_scores_codex":[0.9944671,0.002719717,0.0002211156,0.0005705694,0.001426555,0.0005949523],"domain_scores_gemma":[0.9859381,0.002524237,0.0004312626,0.001440045,0.002545266,0.007121088],"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":[0.002533302,0.01326028,0.01154046,0.0003561841,0.0001464548,0.0009908763,0.00411123,0.007171907,0.01239477,0.006440543,0.2236652,0.7173889],"study_design_scores_gemma":[0.002848397,0.01079034,0.01947531,0.0005091942,0.0002091499,0.003376723,0.004916182,0.1473605,0.01843726,0.02095009,0.7705101,0.0006166705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1720734,0.0002335326,0.4116078,0.01037508,0.002924558,0.007089395,0.001214925,0.08159917,0.3128822],"genre_scores_gemma":[0.5392707,0.000231556,0.2938984,0.003270709,0.001210497,0.00359991,0.002055322,0.006925303,0.1495376],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0815061,"threshold_uncertainty_score":0.2726651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055030532097493,"score_gpt":0.4517280616694286,"score_spread":0.3462250084596793,"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."}}