{"id":"W2208703683","doi":"10.1017/s1049023x15004975","title":"First Responder Accuracy Using SALT after Brief Initial Training","year":2015,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Triage; Test (biology); Session (web analytics); Mass-casualty incident; Psychological intervention; Medicine; Emergency medical services; Medical emergency; Prioritization; Emergency medicine; Advanced life support; Poison control; Injury prevention; Nursing; Resuscitation; Computer science; Cardiopulmonary resuscitation; 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":[0.004714863,0.0005250288,0.0006143244,0.0007091945,0.0003852656,0.0005988662,0.0006801203,0.0005776027,0.01107465],"category_scores_gemma":[0.02763675,0.0002650882,0.000635547,0.0003808369,0.0003410158,0.0006948579,0.001150952,0.0006333191,0.004334569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006985415,"about_ca_system_score_gemma":0.001012771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934277,"about_ca_topic_score_gemma":0.002560928,"domain_scores_codex":[0.99714,0.0008249935,0.0004563611,0.0003417372,0.0007850738,0.0004517872],"domain_scores_gemma":[0.9835461,0.008699569,0.002569517,0.001141813,0.00308449,0.0009585698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005093348,0.00455278,0.7247954,0.0004758846,0.00008647389,0.000372127,0.009337342,0.001318874,0.007640893,0.0001383835,0.009971878,0.2362167],"study_design_scores_gemma":[0.000254828,0.01050346,0.9654718,0.000157051,0.00005951673,0.000381736,0.00395599,0.002716354,0.009871858,0.0001953324,0.00637129,0.0000607551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940234,0.00003879972,0.0008611029,0.0001836337,0.00005635992,0.0005003192,0.000280358,0.0001591453,0.003896926],"genre_scores_gemma":[0.99165,0.0001000302,0.002747388,0.0001610668,0.00003209033,0.0007934087,0.0005250637,0.00002453024,0.003966541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107465,"threshold_uncertainty_score":0.03704834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1870770046952561,"score_gpt":0.4381988300911602,"score_spread":0.2511218253959041,"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."}}