{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008977767,0.0001743033,0.0001325832,0.0008059791,0.001623566,0.0006415943,0.0004054331,0.0001721676,0.002356226],"category_scores_gemma":[0.002490001,0.0001321818,0.0001308989,0.0005030509,0.0006915155,0.0003125303,0.0007397999,0.0004250963,0.0001594215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191895,"about_ca_system_score_gemma":0.004634753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2077635,"about_ca_topic_score_gemma":0.4270039,"domain_scores_codex":[0.9996672,0.00006224168,0.000009974742,0.00002899718,0.0001020081,0.0001295663],"domain_scores_gemma":[0.9980367,0.0001847535,0.0004969955,0.0000522726,0.0005652822,0.0006641148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006012985,0.0001613282,0.9698514,0.00004942652,0.00001540939,0.0001086464,0.01264485,0.00003951321,0.0005795683,0.0001765961,0.0006302305,0.01568298],"study_design_scores_gemma":[0.000002362382,0.0000862081,0.9887487,0.00001673341,0.000003923415,0.000049881,0.01011954,0.00004299745,0.00007455078,0.00002791977,0.0008234732,0.000003784412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989956,0.00003419661,0.0000187909,0.00005355785,0.00000209975,0.00001502347,0.00003749364,5.092841e-7,0.0008426364],"genre_scores_gemma":[0.99926,0.00005864544,0.0001099778,0.00001719506,0.000001945866,0.00001667672,0.00005983891,3.268209e-7,0.000475387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077635,"threshold_uncertainty_score":0.4131083,"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."}}