{"id":"W4294786706","doi":"10.2196/30094","title":"A Free App for Diagnosing Burnout (BurnOut App): Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación","keywords":"Burnout; Psychology; Medicine; Computer science; Clinical psychology","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":[0.004417405,0.0007197806,0.0004797653,0.0009660209,0.0005715279,0.0009436358,0.0008747894,0.000938534,0.007189331],"category_scores_gemma":[0.01079004,0.0005016173,0.0006661498,0.0002519856,0.0004722553,0.001148373,0.001340154,0.001059263,0.003040997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457023,"about_ca_system_score_gemma":0.001535854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051773,"about_ca_topic_score_gemma":0.001693501,"domain_scores_codex":[0.9986393,0.0005417303,0.0001290938,0.0001806099,0.0003393364,0.0001700366],"domain_scores_gemma":[0.9940304,0.003703633,0.0001879704,0.0002607362,0.001330793,0.0004863964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003573364,0.02569501,0.08458204,0.008997275,0.0002480778,0.006241628,0.02943903,0.001051375,0.02092991,0.002036507,0.07023967,0.7469661],"study_design_scores_gemma":[0.006492223,0.04830899,0.4515951,0.007476915,0.001665785,0.02010223,0.0294405,0.01728086,0.04323864,0.003893089,0.3696308,0.0008748392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988162,0.001472149,0.0403784,0.001120029,0.0005559422,0.03529807,0.004775115,0.002790298,0.01479366],"genre_scores_gemma":[0.7120708,0.002708922,0.1856023,0.002682403,0.0002618771,0.06249985,0.00643859,0.001102486,0.02663282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007189331,"threshold_uncertainty_score":0.02405071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06152528489438647,"score_gpt":0.4350345864800294,"score_spread":0.3735093015856429,"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."}}