{"id":"W3061328368","doi":"10.1111/epi.16647","title":"Cross‐national disparities contribute to heterogeneity in patient outcomes following invasive monitoring: A hierarchical mixed‐effects analysis","year":2020,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Epilepsy; Logistic regression; Population; Educational attainment; Demography; Multivariate analysis; Univariate analysis; Epilepsy surgery; Pediatrics; Emergency medicine; Psychiatry; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04187152,0.001480045,0.002557632,0.002629687,0.001355925,0.002391544,0.003484017,0.001859824,0.005817323],"category_scores_gemma":[0.04034622,0.0008174852,0.01109302,0.002591003,0.001265814,0.001528374,0.003073536,0.002484086,0.0003982841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599018,"about_ca_system_score_gemma":0.002370999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03212512,"about_ca_topic_score_gemma":0.02247925,"domain_scores_codex":[0.9661279,0.023619,0.00237668,0.004298305,0.001397205,0.002180923],"domain_scores_gemma":[0.9531376,0.03366381,0.0051122,0.005713428,0.001305579,0.001067359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002395929,0.0004341097,0.9440195,0.0003982548,0.03069237,0.0007705097,0.0009031847,0.007271582,0.0006300167,0.002473163,0.001915247,0.008096073],"study_design_scores_gemma":[0.0007381383,0.002233851,0.7541134,0.0003743522,0.02672141,0.0007716392,0.002463936,0.2013302,0.0008282163,0.007349301,0.002826329,0.0002491897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592161,0.002783524,0.03107799,0.001285455,0.0002453558,0.00053176,0.00373068,0.0002201234,0.0009089927],"genre_scores_gemma":[0.9919509,0.0002177889,0.005573612,0.0001898464,0.00005498731,0.0003500807,0.001232713,0.00002789315,0.0004021981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04187152,"threshold_uncertainty_score":0.2214404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184966146623428,"score_gpt":0.3429108523122354,"score_spread":0.3110611908460011,"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."}}