{"id":"W4243578959","doi":"10.7205/milmed-d-09-00151","title":"MEDEVAC Miscategorization","year":2010,"lang":"en","type":"article","venue":"Military Medicine","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Medical Command; University of Texas at San Antonio","keywords":"Medicine; Categorization; Military medicine; Medical emergency; Population; Political science; Environmental health; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01515359,0.0004563796,0.0004929338,0.003322118,0.0007909461,0.001290915,0.001674477,0.0008257629,0.003947735],"category_scores_gemma":[0.1068403,0.000167562,0.0003784605,0.001025361,0.0005165268,0.001521771,0.001778872,0.0007873774,0.001403999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009314744,"about_ca_system_score_gemma":0.001771204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002561452,"about_ca_topic_score_gemma":0.003125257,"domain_scores_codex":[0.9810589,0.009481361,0.002127453,0.001549997,0.004960236,0.0008220535],"domain_scores_gemma":[0.9198362,0.03953825,0.01722908,0.006758723,0.01497382,0.001663945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001811647,0.0009404356,0.6947773,0.0004898362,0.0001143734,0.0002392366,0.001852775,0.001001038,0.001207929,0.0007357085,0.009502213,0.2873274],"study_design_scores_gemma":[0.0001641287,0.00224132,0.9203706,0.001178402,0.0002667506,0.004686411,0.005794096,0.01696128,0.01067547,0.001980629,0.03555081,0.0001299216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695031,0.002280558,0.01031843,0.002601322,0.0004514147,0.0007972119,0.001137377,0.0006126264,0.01229797],"genre_scores_gemma":[0.9836563,0.0004847338,0.01082913,0.001129935,0.0001473383,0.0003038384,0.001518001,0.00005730676,0.001873474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515359,"threshold_uncertainty_score":0.08014077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606952458904562,"score_gpt":0.2939085100127419,"score_spread":0.2778389854236963,"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."}}