{"id":"W2605958720","doi":"10.1017/s1049023x17003739","title":"Event Medical Life Support (EMLS): Event Medicine for Multidisciplinary Teams","year":2017,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multidisciplinary approach; Event (particle physics); Multidisciplinary team; Medicine; Medical emergency; Nursing","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":[0.004868709,0.0008321647,0.0003550783,0.0006769129,0.003230569,0.003978776,0.002136943,0.003659318,0.06422324],"category_scores_gemma":[0.01151053,0.0003218861,0.0006115343,0.0005499867,0.001327406,0.005058993,0.01211252,0.006433843,0.01454331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842466,"about_ca_system_score_gemma":0.007933358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009411716,"about_ca_topic_score_gemma":0.002324629,"domain_scores_codex":[0.9966935,0.001830021,0.0001785374,0.0002329262,0.0005127649,0.0005522179],"domain_scores_gemma":[0.9841657,0.001505914,0.0006591477,0.0004687831,0.001356096,0.01184435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001061262,0.0003690157,0.001259103,0.0007452298,0.00001542167,0.0004522481,0.001786271,0.0001149017,0.000233201,0.006717624,0.6507189,0.3374819],"study_design_scores_gemma":[0.0001536986,0.0002867564,0.004420086,0.003867602,0.00001500464,0.001332238,0.003927414,0.0003307017,0.0001479207,0.01722892,0.9682502,0.00003941992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008041718,0.04176924,0.01296428,0.7341769,0.03606455,0.00087311,0.0003987528,0.001343776,0.1643676],"genre_scores_gemma":[0.2523006,0.09036472,0.08895542,0.3461935,0.06993745,0.00421069,0.001858691,0.0007312645,0.1454478],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06422324,"threshold_uncertainty_score":0.2148481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05431095422163039,"score_gpt":0.4548561365733056,"score_spread":0.4005451823516752,"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."}}