{"id":"W2509366393","doi":"10.1111/imj.31_13197","title":"ASCIA‐P31: PRACTICE MAKES PERFECT: THE USE OF SIMULATION IN ANAPHYLAXIS TREATMENT TO IMPROVE CLINICAL SKILLS THAT CAN LEAD TO IMPROVED PATIENT OUTCOMES","year":2016,"lang":"en","type":"article","venue":"Internal Medicine Journal","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"College & Association of Registered Nurses of Alberta","funders":"","keywords":"Medicine; Debriefing; Anaphylaxis; Simulation training; Preparedness; Simulated patient; Nursing; Medical emergency; Allergy; Medical education; Simulation","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":[0.008187588,0.00070116,0.0004313242,0.0007179682,0.001060639,0.002277296,0.0017257,0.001950816,0.01783595],"category_scores_gemma":[0.02249291,0.0003741388,0.001020475,0.0005896088,0.001022757,0.001609584,0.006090852,0.002319381,0.006885049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194996,"about_ca_system_score_gemma":0.004636214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259468,"about_ca_topic_score_gemma":0.00300475,"domain_scores_codex":[0.9957325,0.002810891,0.0001558338,0.0001656394,0.0007975272,0.0003376099],"domain_scores_gemma":[0.9899411,0.003593988,0.000604632,0.001071841,0.001652153,0.003136333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00161474,0.00394145,0.00570487,0.002267622,0.00006472625,0.0005950333,0.005243824,0.002546676,0.002873928,0.004088803,0.2038356,0.7672226],"study_design_scores_gemma":[0.00256487,0.01022932,0.04823889,0.008253377,0.0002889452,0.004401771,0.005119028,0.01961825,0.008695126,0.0261073,0.866093,0.0003901436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3057002,0.008987952,0.1258382,0.103724,0.0110586,0.01615933,0.00355692,0.01551034,0.4094644],"genre_scores_gemma":[0.6703347,0.008915426,0.2490966,0.01399007,0.001877827,0.009942946,0.003309914,0.0009102863,0.04162226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01783595,"threshold_uncertainty_score":0.05966717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08032727046450229,"score_gpt":0.4132617410069636,"score_spread":0.3329344705424613,"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."}}