{"id":"W1989986120","doi":"10.1503/cmaj.109-5011","title":"Medical aid adapts to increasing violence","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ransom; Democracy; Medicine; Medical emergency; Political science; Computer security; Law; Computer science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001980504,0.0003355994,0.0002157998,0.001301593,0.004665169,0.004200209,0.0008827783,0.002448992,0.02413094],"category_scores_gemma":[0.0106504,0.0002669603,0.0004014363,0.0007759121,0.001986102,0.001713924,0.004792665,0.002547761,0.002588389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002312322,"about_ca_system_score_gemma":0.002605826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286539,"about_ca_topic_score_gemma":0.01362651,"domain_scores_codex":[0.9963828,0.001493701,0.0001289299,0.0001867437,0.000430197,0.001377635],"domain_scores_gemma":[0.9955226,0.0007310702,0.0007720064,0.0002393688,0.0006446305,0.002090268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003752192,0.002044086,0.1861026,0.00076798,0.0002020133,0.00773997,0.046371,0.001901515,0.00283435,0.09136165,0.1956167,0.4646829],"study_design_scores_gemma":[0.00008903858,0.0007293483,0.1453643,0.001300817,0.00005934495,0.005848022,0.1440717,0.000826549,0.0007128091,0.03383406,0.6670769,0.00008709801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3893569,0.003400555,0.003449356,0.2456419,0.003972902,0.0002095198,0.0003670884,0.0002498631,0.3533519],"genre_scores_gemma":[0.9549905,0.001687093,0.001939498,0.01760425,0.001068909,0.00006345192,0.0001052638,0.00004473171,0.02249628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02413094,"threshold_uncertainty_score":0.08072603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05789094559127646,"score_gpt":0.403775489808692,"score_spread":0.3458845442174156,"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."}}