{"id":"W3121125777","doi":"10.18297/jwellness/vol3/iss1/2","title":"An Investigation of the Character Strengths and Resilience of Future Military Leaders","year":2020,"lang":"en","type":"article","venue":"Journal of Wellness","topic":"Resilience and Mental Health","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Cadet; Psychology; Stressor; Character (mathematics); Applied psychology; Officer; Psychological resilience; Military personnel; Teamwork; Social psychology; Honesty; Strengths and weaknesses; Clinical psychology; Medical education; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272838,0.00005653976,0.0001572034,0.00003287719,0.0000336941,0.000001975034,0.0001985392,0.00005219978,0.00004961728],"category_scores_gemma":[0.00002177371,0.00003586424,0.00004264768,0.0001365171,0.0002122982,0.0001731437,0.00001310927,0.0001762851,0.000001244726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008670472,"about_ca_system_score_gemma":0.00006308548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004077544,"about_ca_topic_score_gemma":0.000009080274,"domain_scores_codex":[0.9991493,0.0001508733,0.0003420292,0.00008383757,0.0001843481,0.0000895749],"domain_scores_gemma":[0.9993749,0.00005291773,0.000293692,0.0001220788,0.00004672001,0.0001097285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001453795,0.0003061779,0.5237526,0.0006804471,0.00008424732,0.00003040677,0.1563335,0.0001627393,0.1461193,0.001452073,0.005785561,0.1638392],"study_design_scores_gemma":[0.0006420852,0.0007940588,0.9084325,0.0001269124,0.0000281695,0.00005972714,0.04413768,0.00006058473,0.04467987,0.0001666929,0.0007994089,0.0000723054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935228,0.0007391374,0.000012112,0.005125981,0.0004339901,0.00007288557,0.000004986466,0.000001475472,0.00008665099],"genre_scores_gemma":[0.9988415,0.0001262312,0.00004679124,0.0007086971,0.0002448588,4.516856e-7,5.492052e-7,0.00000413058,0.00002677661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3846799,"threshold_uncertainty_score":0.1462501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910678195479439,"score_gpt":0.3394130277481698,"score_spread":0.3203062457933755,"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."}}