{"id":"W2339481285","doi":"10.1503/cjs.013514","title":"The Canadian Armed Forces medical response to Typhoon Haiyan","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Disaster Response and Management","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Mount Sinai Hospital; University Health Network; National Defence Medical Centre; University of Toronto; Toronto General Hospital; Department of National Defence","funders":"","keywords":"Medicine; Medical emergency; Typhoon; Disaster response; Disaster medicine; Government (linguistics); Data collection; First aid; Suicide prevention; Poison control; Emergency management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001383923,0.0004434298,0.0002127384,0.002112794,0.006619493,0.001742548,0.001144995,0.0005464038,0.01063465],"category_scores_gemma":[0.005617948,0.0002148705,0.000244849,0.003341422,0.0008798288,0.0004954037,0.001826318,0.001090835,0.001064588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03690142,"about_ca_system_score_gemma":0.08603995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869512,"about_ca_topic_score_gemma":0.9933324,"domain_scores_codex":[0.9984695,0.0001279754,0.00008568212,0.0001042835,0.0007529826,0.0004595228],"domain_scores_gemma":[0.9945959,0.0002074387,0.0003587865,0.00009738007,0.00347665,0.001263747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002166833,0.0001430187,0.4295397,0.0007428497,0.00008790203,0.001824938,0.008626069,0.0009425437,0.0009048479,0.002345023,0.351702,0.2029244],"study_design_scores_gemma":[0.00003037183,0.00009134776,0.7287131,0.0007020372,0.00003671702,0.0005092039,0.02465854,0.0007052116,0.0003867219,0.0003322345,0.2437579,0.00007658712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5591624,0.0100153,0.001683767,0.08710226,0.00249452,0.002100455,0.04807754,0.0005089946,0.2888549],"genre_scores_gemma":[0.8997658,0.01429051,0.00558803,0.01401235,0.0006126858,0.0006886696,0.01635407,0.0001155752,0.04857235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03690142,"threshold_uncertainty_score":0.2677398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681148963189149,"score_gpt":0.4006616078693992,"score_spread":0.2325467115504843,"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."}}