{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453063,0.0002415286,0.0003516533,0.0001417701,0.0002527015,0.00002083168,0.0001423303,0.0001068988,0.0006981394],"category_scores_gemma":[0.0005726919,0.0001757156,0.00003894362,0.0001510769,0.0002106765,0.0004009905,0.0003592588,0.0002927144,0.0001045116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006397868,"about_ca_system_score_gemma":0.0001269466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002264415,"about_ca_topic_score_gemma":0.00008811455,"domain_scores_codex":[0.9979308,0.0002466066,0.0005225638,0.0003719952,0.000379089,0.0005489867],"domain_scores_gemma":[0.9986599,0.0003379584,0.0001421158,0.000310591,0.00009252188,0.0004569324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004833597,0.00020107,0.02368828,0.0007673613,0.00015673,0.0003212596,0.9175727,0.00001161629,0.00009962021,0.003679534,0.03046024,0.01820793],"study_design_scores_gemma":[0.01467033,0.001798402,0.0538923,0.003188057,0.0003417189,0.00004387664,0.3477752,0.0009937559,0.000007394969,0.009572742,0.5667433,0.0009729717],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449454,0.0008726225,0.001675525,0.003724257,0.001176609,0.0006940334,0.00001240289,0.00008656594,0.04681261],"genre_scores_gemma":[0.98821,0.00002025525,0.000267258,0.005356765,0.001050995,0.0001159672,0.00001398403,0.00003514662,0.004929661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5697976,"threshold_uncertainty_score":0.7644137,"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."}}