{"id":"W4403417762","doi":"10.4337/9781803929507.00014","title":"Moral injuries and wellbeing: evidence from the Canadian Defence","year":2024,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Criminology; Political science; Environmental ethics; Forensic engineering; Philosophy; Engineering","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":[0.006014173,0.0006904214,0.001392782,0.007292135,0.008731833,0.003686555,0.002657201,0.001121291,0.01012679],"category_scores_gemma":[0.02469895,0.0007837154,0.001026563,0.01894973,0.003946631,0.001574417,0.003395583,0.002411478,0.0005649382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08880891,"about_ca_system_score_gemma":0.1822218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942214,"about_ca_topic_score_gemma":0.9972495,"domain_scores_codex":[0.9949291,0.0005831972,0.0004377896,0.0005736586,0.002321446,0.001154832],"domain_scores_gemma":[0.9815319,0.004848198,0.002883912,0.000685277,0.008042443,0.002008338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007132293,0.0002855269,0.6193123,0.01453079,0.0008896651,0.001800003,0.1533517,0.0002501628,0.000285378,0.01373687,0.03077307,0.1640713],"study_design_scores_gemma":[0.00004834215,0.00007055623,0.8480034,0.01213356,0.0003457493,0.0003000667,0.09751871,0.0001599675,0.00008113069,0.0006059438,0.04061527,0.0001171968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8137957,0.1087423,0.0004388681,0.01356404,0.000420187,0.0003829922,0.01304787,0.00002403915,0.04958403],"genre_scores_gemma":[0.9369577,0.05688994,0.0004544256,0.001486163,0.00005014263,0.0001182032,0.00165516,0.00002671327,0.002361693],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08880891,"threshold_uncertainty_score":0.6443567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965574653922938,"score_gpt":0.3371095109842241,"score_spread":0.2474537644449948,"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."}}