{"id":"W2942833805","doi":"10.1017/cem.2019.161","title":"MP26: Development and evaluation of a novel emergency physician fan-out mechanism at an urban centre for use in mass casualty incidents","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Declaration; Emergency department; Medical emergency; Mass Casualty; Operations management; Computer science; Nursing; 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":[0.002084382,0.0009010543,0.0004188885,0.0008081102,0.0009062997,0.001000196,0.003042061,0.001310994,0.01559126],"category_scores_gemma":[0.003322752,0.000358278,0.0005055744,0.0002390159,0.0005761846,0.0008980673,0.001265808,0.0008464092,0.003038137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356937,"about_ca_system_score_gemma":0.003508484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875753,"about_ca_topic_score_gemma":0.00449268,"domain_scores_codex":[0.9989318,0.0002420897,0.00005336259,0.000144402,0.000432351,0.0001958931],"domain_scores_gemma":[0.9982653,0.0002488859,0.0001600247,0.0001353035,0.0005751433,0.0006152858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006991973,0.02158355,0.05299309,0.002755114,0.0002294977,0.005018323,0.004166419,0.006912274,0.3017863,0.00382208,0.02381658,0.5699248],"study_design_scores_gemma":[0.005198507,0.1838575,0.2502395,0.00127479,0.001314722,0.01250402,0.01301025,0.0688893,0.2232191,0.001951227,0.2378972,0.0006438605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206419,0.0002641671,0.05476337,0.0008528461,0.0003691081,0.006956858,0.0009407891,0.00341981,0.01179124],"genre_scores_gemma":[0.8204445,0.0003699877,0.1497952,0.0005721008,0.00009352815,0.002948669,0.001296132,0.0003912376,0.02408858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559126,"threshold_uncertainty_score":0.052158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2781517454385692,"score_gpt":0.4572691397478166,"score_spread":0.1791173943092473,"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."}}