{"id":"W4386279406","doi":"10.1093/milmed/usad253","title":"Prehospital Lessons From the War in Ukraine: Damage Control Resuscitation and Surgery Experiences From Point of Injury to Role 2","year":2023,"lang":"en","type":"article","venue":"Military Medicine","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Triage; Medicine; Medical emergency; Emergency medical services; Military medicine; Resuscitation; Intensive care medicine; Emergency medicine","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":[0.001197845,0.0004422227,0.0003503416,0.0004770899,0.007207566,0.002833011,0.0006086741,0.0008133887,0.00339974],"category_scores_gemma":[0.002682213,0.0002622288,0.0003006055,0.0005056117,0.00245752,0.002195172,0.005179494,0.002571377,0.0005174806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00362405,"about_ca_system_score_gemma":0.005929796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568837,"about_ca_topic_score_gemma":0.04304734,"domain_scores_codex":[0.9989511,0.0004110521,0.00004815653,0.00006749346,0.0001282808,0.0003940185],"domain_scores_gemma":[0.9988887,0.0002096013,0.0002282729,0.00004409217,0.000178242,0.0004511036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00012158,0.0001861689,0.05258614,0.0006006585,0.00002940345,0.008572278,0.874071,0.0002838281,0.001104306,0.003238667,0.01718543,0.04202051],"study_design_scores_gemma":[0.000003848193,0.0001158437,0.02384077,0.0003286002,0.000008662375,0.001493611,0.9366937,0.00005601003,0.000307883,0.0005299336,0.03659342,0.00002772861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780524,0.002699011,0.0004986033,0.0101468,0.0003672689,0.00002833376,0.0001100945,0.00002493392,0.008072573],"genre_scores_gemma":[0.9929546,0.002223448,0.0002451078,0.001807633,0.00005471804,0.00001988638,0.00007877842,0.00001648227,0.002599471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568837,"threshold_uncertainty_score":0.03119409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139228491211204,"score_gpt":0.2997855302369064,"score_spread":0.2783932453247943,"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."}}