{"id":"W4375946896","doi":"10.21608/ejhm.2023.296398","title":"Burnout in Stroke Patients Pre-and Post-COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"The Egyptian Journal of Hospital Medicine","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Stroke (engine); Burnout; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Emergency medicine; Cardiology; Internal medicine; Virology; Clinical psychology; Disease; Outbreak","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":[0.001126266,0.0001472031,0.0004512983,0.0004783789,0.00005922325,0.00000780728,0.0001447687,0.00007497574,0.0001054651],"category_scores_gemma":[0.003346081,0.00007746178,0.0001192932,0.0003625639,0.0002964945,0.00009651023,0.00003994392,0.0004566727,0.00001897874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210973,"about_ca_system_score_gemma":0.0001647703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003713091,"about_ca_topic_score_gemma":0.000006175444,"domain_scores_codex":[0.9983454,0.0001040911,0.0006310461,0.0001385457,0.0005404261,0.0002404883],"domain_scores_gemma":[0.9983444,0.0006108751,0.000279113,0.0001829493,0.0002100771,0.0003726416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005204981,0.0001355583,0.9777835,0.0001207954,0.00009262084,0.0001130811,0.008508034,0.0000229217,0.001032265,0.00003613036,0.00307702,0.008557574],"study_design_scores_gemma":[0.005727415,0.006439904,0.9793239,0.0004326495,0.00009980435,0.0001676013,0.004093849,0.00003339333,0.00001402013,0.0002482152,0.003331803,0.00008739993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681614,0.001183121,0.00002148419,0.02872552,0.001119008,0.0003613932,0.000006762688,0.0000256185,0.0003956711],"genre_scores_gemma":[0.9958041,0.0007778369,0.00004973192,0.001800108,0.0004897909,0.000004219221,0.000007446398,0.00001783904,0.001048944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02764266,"threshold_uncertainty_score":0.4005813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478937715658942,"score_gpt":0.3031731758665975,"score_spread":0.2883837987100081,"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."}}