{"id":"W2325983201","doi":"10.1111/epi.13290","title":"The influence of socioeconomic status on health resource utilization in pediatric epilepsy in a universal health insurance system","year":2016,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Government of Ontario; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Socioeconomic status; Epilepsy; Neurology; Residence; Emergency department; Status epilepticus; Pediatrics; Health insurance; Health care; Emergency medicine; Demography; Environmental health; Population; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001105716,0.0001585296,0.0002672812,0.000916239,0.0004484068,0.0008095098,0.0004585944,0.000224139,0.0011803],"category_scores_gemma":[0.005617926,0.0001390776,0.0005575157,0.001422644,0.0004699998,0.0004937219,0.001266134,0.0004071324,0.00006482151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172614,"about_ca_system_score_gemma":0.001830296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1737136,"about_ca_topic_score_gemma":0.1955129,"domain_scores_codex":[0.9984971,0.0003851026,0.0001253851,0.0001479669,0.000301159,0.0005433154],"domain_scores_gemma":[0.9971018,0.0004046014,0.001491934,0.0001012842,0.0002716435,0.0006286486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001231412,0.000006723766,0.9990139,0.000004659802,0.00003251564,0.00003821911,0.00006449766,0.00005128758,0.00001428263,0.00003415376,0.00005514548,0.0006723305],"study_design_scores_gemma":[7.141811e-7,0.000006301295,0.9996729,0.00000639095,0.000004437872,0.00002644477,0.0001138863,0.0001170023,0.000005505267,0.000009460816,0.00003599409,9.92386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985263,0.000327461,0.00003470295,0.000225555,0.000003851172,0.000005212166,0.0003947022,0.000002079819,0.0004801691],"genre_scores_gemma":[0.9997191,0.00007580269,0.00001736451,0.00001592407,0.000003011476,0.000001928788,0.0001472529,5.564236e-7,0.00001905531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1737136,"threshold_uncertainty_score":0.3454049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117219842201902,"score_gpt":0.306302350645486,"score_spread":0.285130152223467,"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."}}