{"id":"W7160580050","doi":"","title":"Identification of exogenous and endogenous risk factors for the burnout syndrome in medical workers","year":2025,"lang":"uk","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Burnout syndrome; Identification (biology); Burnout; Risk factor; Mental health; Health care; Quality (philosophy)","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":[0.00209908,0.000238117,0.0003306829,0.001561145,0.0007395056,0.001868047,0.0004047895,0.000730824,0.003166971],"category_scores_gemma":[0.008973471,0.0002835231,0.0008799529,0.0009573126,0.0006947039,0.0006619579,0.001209446,0.001097232,0.000365879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630988,"about_ca_system_score_gemma":0.003247463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00487859,"about_ca_topic_score_gemma":0.006132547,"domain_scores_codex":[0.9983021,0.0007371512,0.0001600863,0.0001600496,0.0003635339,0.0002770584],"domain_scores_gemma":[0.9955445,0.001656752,0.001436445,0.000224892,0.0004114415,0.0007259879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009778862,0.000143348,0.9873378,0.00007027113,0.00006157842,0.00010854,0.000808685,0.00007993218,0.0001706904,0.0008543147,0.0002902511,0.009976732],"study_design_scores_gemma":[0.00001112253,0.00008887077,0.9947296,0.0001498184,0.00006762466,0.0002290238,0.002122542,0.000653229,0.0001273042,0.001158173,0.0006483643,0.00001410245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898559,0.002608378,0.001528359,0.00176968,0.00009257547,0.00006286609,0.0002736715,0.000008796937,0.003799871],"genre_scores_gemma":[0.997922,0.0007230397,0.0006698529,0.0000705909,0.00004113794,0.00004384431,0.0001272162,0.00000323446,0.0003990838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00487859,"threshold_uncertainty_score":0.01110113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474566846093877,"score_gpt":0.311351943862112,"score_spread":0.2666062754011732,"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."}}