{"id":"W3032488418","doi":"10.1136/bmjmilitary-2020-001490","title":"Killed in action (KIA): an analysis of military personnel who died of their injuries before reaching a definitive medical treatment facility in Afghanistan (2004–2014)","year":2020,"lang":"en","type":"article","venue":"BMJ Military Health","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parachute","funders":"Defence Science and Technology Laboratory; National Institute for Health and Care Research","keywords":"Medicine; Cause of death; Case fatality rate; Emergency medicine; Cohort; Timeline; Medical emergency; Medical record; Surgery; Epidemiology; Internal medicine; Geography","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":[0.0009584411,0.000569638,0.0004763471,0.003062017,0.001014501,0.0008993967,0.0008578945,0.0007154547,0.002633486],"category_scores_gemma":[0.002343969,0.0006063871,0.0007755702,0.00337881,0.0004974529,0.0009396779,0.001719415,0.001031173,0.000873171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713472,"about_ca_system_score_gemma":0.001459664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05435229,"about_ca_topic_score_gemma":0.06063541,"domain_scores_codex":[0.9989392,0.0001348127,0.0001954114,0.0002147561,0.0001932677,0.0003225042],"domain_scores_gemma":[0.9980665,0.0001603155,0.001158867,0.00007582945,0.0002651877,0.0002732755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001168402,0.00002273174,0.9962794,0.00006815196,0.00005841322,0.0002534796,0.0005964077,0.00003803134,0.00008738417,0.00002138539,0.0006177591,0.001840069],"study_design_scores_gemma":[0.000004818721,0.00008433525,0.9968645,0.00007503766,0.00002192261,0.0004189681,0.002003007,0.00007176133,0.0000217777,0.0000130458,0.0004139804,0.00000687797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960513,0.0005298899,0.00006583954,0.0001345571,0.00001331948,0.0000320527,0.002803513,0.000004982835,0.0003646803],"genre_scores_gemma":[0.9949067,0.000583671,0.00009491274,0.0001135335,0.00002701373,0.00006728267,0.003871839,0.000005679015,0.0003292537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435229,"threshold_uncertainty_score":0.1080719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396131012972059,"score_gpt":0.3663140215774229,"score_spread":0.3023527114477023,"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."}}