{"id":"W4401458481","doi":"10.4081/hls.2024.12445","title":"Management and prevention of emotional burnout among members of the armed and special forces","year":2024,"lang":"en","type":"article","venue":"Healthcare in Low-resource Settings","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Burnout; Psychology; Emotional exhaustion; Special forces; Social psychology; Applied psychology; Clinical psychology; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536417,0.0002055512,0.000415081,0.0002590996,0.0004187889,0.00001236361,0.0001782915,0.0002808273,0.0001647168],"category_scores_gemma":[0.0001377637,0.0001500568,0.00009390934,0.0004230044,0.0002610423,0.000117183,0.0003296383,0.000850877,0.00000318654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068008,"about_ca_system_score_gemma":0.0002609264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008803806,"about_ca_topic_score_gemma":0.001076082,"domain_scores_codex":[0.9965491,0.0008145559,0.001126845,0.0004412349,0.0005438376,0.0005243726],"domain_scores_gemma":[0.9984058,0.0006376734,0.0004047513,0.0002624101,0.0001239855,0.0001654148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179134,0.0001129556,0.7017419,0.04001772,0.00009801832,0.00003011453,0.03283523,0.00002524998,0.00006190709,0.0275696,0.004288591,0.1930008],"study_design_scores_gemma":[0.001233783,0.0001495235,0.8661201,0.07413645,0.00004852124,0.000007645666,0.02629576,0.001108502,0.00008608638,0.0074117,0.02310652,0.0002953915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764174,0.004587047,0.00001609121,0.0136271,0.0007333903,0.001532244,0.00006826025,0.00003722983,0.002981198],"genre_scores_gemma":[0.99543,0.0006763971,0.0002659998,0.0005895614,0.000580758,0.0001012029,0.00002093832,0.00003014284,0.002305033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927054,"threshold_uncertainty_score":0.6119141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104786411471487,"score_gpt":0.3588687887163528,"score_spread":0.3378209246016379,"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."}}