{"id":"W2900991409","doi":"10.1136/jramc-2018-000999","title":"Military physicians’ ethical experience and professional identity: a Canadian perspective","year":2018,"lang":"en","type":"article","venue":"Journal of the Royal Army Medical Corps","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Military medical ethics; Duty; Context (archaeology); Military personnel; Perspective (graphical); Bioethics; Political science; Obligation; Active duty; Software deployment; Identity (music); Medicine; Institution; Public relations; Psychology; Nursing; Medical ethics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002316118,0.00008888749,0.0001876542,0.00004731823,0.0008415541,0.00003319896,0.0006432874,0.0003645104,0.0004702232],"category_scores_gemma":[0.004338087,0.0000560611,0.0001175164,0.0001634543,0.002873533,0.000160633,0.00009446481,0.001674961,0.000007456207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368227,"about_ca_system_score_gemma":0.002151637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1062372,"about_ca_topic_score_gemma":0.4485395,"domain_scores_codex":[0.9970605,0.0005811888,0.0002642472,0.0001414203,0.001638782,0.0003138524],"domain_scores_gemma":[0.9983407,0.0002779375,0.0001374495,0.0001073877,0.0004639751,0.0006724976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002771387,0.0002956268,0.02478517,0.00002825947,0.0001741437,0.0003929589,0.5361612,0.00000424387,0.00004799829,0.3233897,0.105158,0.009285548],"study_design_scores_gemma":[0.001440613,0.0005137955,0.1310978,0.001200249,0.000130675,0.0001174823,0.1426239,0.0005628749,0.00007995823,0.1577262,0.5639352,0.0005713113],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.783903,0.000877278,0.00009705393,0.1976954,0.006194493,0.0001552456,0.000004517944,0.0000197786,0.01105318],"genre_scores_gemma":[0.9839863,0.00006835052,0.00007773935,0.01182547,0.003105083,0.000001485518,8.899138e-8,0.000007835496,0.0009277173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4587772,"threshold_uncertainty_score":0.9998401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454127701801648,"score_gpt":0.3571576767790637,"score_spread":0.3326163997610472,"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."}}