{"id":"W3107526160","doi":"10.1111/epi.16775","title":"Economic burden of epilepsy in children: A population‐based matched cohort study in Canada","year":2020,"lang":"en","type":"article","venue":"Epilepsia","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Ministry of Health","keywords":"Medicine; Epilepsy; Confidence interval; Cohort; Indirect costs; Health care; Pediatrics; Socioeconomic status; Population; Cohort study; Demography; Environmental health; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001689897,0.0001289644,0.0005893627,0.00006525651,0.00001747954,0.00000303429,0.00008537564,0.0000334362,0.000256269],"category_scores_gemma":[0.00009558327,0.0001109597,0.00004204723,0.0001805251,0.00001683131,0.00002745457,0.00004388802,0.0001862196,0.000009295204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222596,"about_ca_system_score_gemma":0.0003082768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7833122,"about_ca_topic_score_gemma":0.4183696,"domain_scores_codex":[0.9989132,0.00008698254,0.0004006463,0.0002572788,0.0001512505,0.0001906822],"domain_scores_gemma":[0.9995769,0.000100377,0.00008626963,0.0001181438,0.00001213801,0.0001061488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001511854,0.0001280341,0.9960278,0.00002480065,0.0000676655,0.00004778156,0.0001777401,0.002588429,0.0001498242,0.000006624055,0.0003992823,0.0002307786],"study_design_scores_gemma":[0.002863263,0.0002906274,0.9903621,0.00002338192,0.00004364867,0.000001155894,0.000182219,0.005977955,0.0001317774,0.000007221767,0.00001831007,0.00009833075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960459,0.00005080932,0.000002652571,0.002230109,0.0000515081,0.00130887,0.00001899229,0.00001515698,0.0002760014],"genre_scores_gemma":[0.9988061,0.000007240829,0.00004371221,0.0009720671,0.0000791112,0.00005255453,0.00002159504,0.00001032994,0.000007276956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3649426,"threshold_uncertainty_score":0.5922437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159288153011984,"score_gpt":0.2742031906823687,"score_spread":0.2582743753811703,"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."}}