{"id":"W4388557294","doi":"10.1093/milmed/usad087","title":"Trauma THOMPSON: Clinical Decision Support for the Frontline Medic","year":2023,"lang":"en","type":"article","venue":"Military Medicine","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Army Medical Research Acquisition Activity","keywords":"Medicine; Military medicine; Medical emergency; Political science","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":[0.001329133,0.0008734014,0.0004829139,0.00130395,0.0008608362,0.002691063,0.001339649,0.001147515,0.1299967],"category_scores_gemma":[0.01119245,0.0003352136,0.0004636401,0.0008264966,0.0003133397,0.001648044,0.002726315,0.001569479,0.04304277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422125,"about_ca_system_score_gemma":0.001995534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099901,"about_ca_topic_score_gemma":0.00131178,"domain_scores_codex":[0.9989098,0.0003310394,0.0001435916,0.0002094189,0.0003129359,0.00009316776],"domain_scores_gemma":[0.9953921,0.001880954,0.0003452009,0.0003168905,0.0007575064,0.001307416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006674309,0.0001848592,0.004470494,0.0004652958,0.00003055934,0.0022304,0.0002854912,0.00128792,0.001815318,0.002283589,0.4894324,0.4968462],"study_design_scores_gemma":[0.0005894421,0.0007360525,0.01168249,0.002315605,0.00007244487,0.01110281,0.001184406,0.02802966,0.004747051,0.01676673,0.9225968,0.0001765037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06852458,0.01066104,0.191524,0.09853196,0.008373963,0.005086099,0.03268968,0.07936432,0.5052444],"genre_scores_gemma":[0.4898764,0.009714054,0.3004082,0.02311958,0.005435586,0.003429528,0.02456136,0.004288284,0.139167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1299967,"threshold_uncertainty_score":0.4348825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08532549793840508,"score_gpt":0.3998895322304611,"score_spread":0.314564034292056,"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."}}