{"id":"W4409058462","doi":"10.24908/cmj.v23i4.17691","title":"Finding Character Strengths in How Military Leaders Talk About Resilience","year":2025,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Resilience (materials science); Psychology; Political science; Physics; Mathematics","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":[0.002865203,0.000315249,0.0002181692,0.001242688,0.007279012,0.006277167,0.0006909588,0.001439438,0.00781607],"category_scores_gemma":[0.01400134,0.0003894596,0.0002635857,0.0006033013,0.005595549,0.004685523,0.004702086,0.004335815,0.0006475661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003382261,"about_ca_system_score_gemma":0.003446148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910217,"about_ca_topic_score_gemma":0.0364616,"domain_scores_codex":[0.9973878,0.001485102,0.00004439154,0.0001831508,0.0004308051,0.0004688473],"domain_scores_gemma":[0.9930482,0.002792454,0.0009847287,0.0002621463,0.0009676708,0.001944806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009549782,0.00009581163,0.0490439,0.0001277049,0.00005955641,0.0006486165,0.8956847,0.000104154,0.002446266,0.018719,0.007348663,0.02562609],"study_design_scores_gemma":[0.00001072694,0.0000562929,0.04447226,0.0002552724,0.00004504528,0.000356631,0.9071445,0.000214566,0.0003803264,0.009128892,0.03787907,0.00005629934],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613006,0.0009125646,0.004059701,0.01941906,0.0006230561,0.00004765056,0.00006492719,0.00005387444,0.1135185],"genre_scores_gemma":[0.9925082,0.0001544752,0.0005425746,0.001278109,0.00002390425,0.00002089064,0.00002275051,0.0000339969,0.005415056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910217,"threshold_uncertainty_score":0.03798193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972292413587421,"score_gpt":0.3439709715708517,"score_spread":0.3242480474349774,"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."}}