{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001158285,0.0002657254,0.0006714109,0.0005034854,0.00008106916,0.00003503987,0.0002417525,0.0001052331,0.0002187852],"category_scores_gemma":[0.009654182,0.0001135415,0.0002582854,0.0003109465,0.0001767993,0.000215079,0.00009503573,0.0005389745,0.00002091833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004173883,"about_ca_system_score_gemma":0.0002034111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565961,"about_ca_topic_score_gemma":0.001645067,"domain_scores_codex":[0.996852,0.0003874172,0.001068666,0.000345242,0.0008936686,0.0004530141],"domain_scores_gemma":[0.9950653,0.003126213,0.0003945443,0.0004259931,0.0004462836,0.0005416792],"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":[0.004486046,0.001176347,0.1470453,0.00001801717,0.0006290849,0.000270764,0.003192783,0.0002052372,0.01121711,0.000009715326,0.003096382,0.8286532],"study_design_scores_gemma":[0.01176979,0.05654644,0.6375589,0.002671329,0.0000778726,0.0004180892,0.002336799,0.0009411494,0.006121599,0.00005178118,0.281138,0.0003682262],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236909,0.0001528658,0.001558153,0.07262204,0.0009540217,0.0007308411,0.00001389146,0.00001190611,0.0002653359],"genre_scores_gemma":[0.9927614,0.0002876107,0.0005184466,0.003535182,0.000575817,0.00002195791,0.000001271768,0.00002728204,0.002271008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.828285,"threshold_uncertainty_score":0.9986879,"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."}}