{"id":"W1996514333","doi":"10.3402/ejpt.v5.23668","title":"Battlefield ethics training: integrating ethical scenarios in high-intensity military field exercises","year":2014,"lang":"en","type":"article","venue":"European journal of psychotraumatology","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Defence Research and Development Canada","funders":"","keywords":"Battlefield; Training (meteorology); Military medical ethics; Engineering ethics; Extant taxon; Field training; Field (mathematics); Military personnel; Psychology; Political science; Information ethics; Medical education; Engineering; Law; Medicine; History","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":[0.00435227,0.0004767687,0.0002797484,0.0005669944,0.00129325,0.002135979,0.001013147,0.001274259,0.005042344],"category_scores_gemma":[0.01115833,0.0002239058,0.0003411465,0.000292008,0.001772791,0.002047224,0.003536266,0.002081005,0.0007747414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007947853,"about_ca_system_score_gemma":0.002124632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000191401,"about_ca_topic_score_gemma":0.0008088805,"domain_scores_codex":[0.9974141,0.001883794,0.00007691557,0.0001322597,0.0002775701,0.0002153202],"domain_scores_gemma":[0.9949921,0.002371771,0.0004263491,0.0003453262,0.0002831507,0.001581413],"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":[0.0008079548,0.04012375,0.02453506,0.002062515,0.00009950888,0.002466734,0.1536139,0.009844633,0.02342322,0.04295966,0.01485515,0.685208],"study_design_scores_gemma":[0.001159416,0.01312098,0.1704265,0.004794383,0.0001766705,0.009013225,0.2184435,0.03753887,0.01961715,0.2812415,0.2438003,0.0006674976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128181,0.000373011,0.0405627,0.004201895,0.0003166576,0.001240952,0.00005345177,0.0002264676,0.04020663],"genre_scores_gemma":[0.9511078,0.0006060741,0.04416437,0.0005198319,0.00006339163,0.0007654162,0.00008335534,0.0000198509,0.002669978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005042344,"threshold_uncertainty_score":0.02301729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530910137131392,"score_gpt":0.3258832025481606,"score_spread":0.1727921888350214,"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."}}