{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005427879,0.0003877662,0.0005231146,0.001534629,0.001871011,0.00104843,0.0008194603,0.0003773326,0.001349366],"category_scores_gemma":[0.001269477,0.0003331025,0.0007250154,0.004750774,0.0004308393,0.0003828806,0.0007245992,0.0006906666,0.0001559029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01854283,"about_ca_system_score_gemma":0.0189412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863651,"about_ca_topic_score_gemma":0.991202,"domain_scores_codex":[0.9991953,0.00004869325,0.00005812223,0.0001284984,0.0002917252,0.0002776982],"domain_scores_gemma":[0.9990552,0.00003920468,0.0002850791,0.00004412775,0.0003794193,0.0001969224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003840141,0.00001732924,0.9977961,0.00001678531,0.00006610531,0.00007321113,0.000134928,0.00005886687,0.00005571208,0.00005775245,0.0005980358,0.001086804],"study_design_scores_gemma":[0.000008031913,0.00001276271,0.9987481,0.00001925806,0.00002823214,0.00006370722,0.0003440372,0.0001847932,0.00001801007,0.00001615859,0.0005517651,0.000005093378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875623,0.0007683103,0.0001202907,0.000282061,0.00001261945,0.00006584482,0.009820758,0.000007359828,0.001360475],"genre_scores_gemma":[0.9949025,0.000773871,0.0001738589,0.00008996716,0.000006740167,0.00002620965,0.003538555,0.00000378564,0.0004845138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01854283,"threshold_uncertainty_score":0.1345383,"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."}}