{"id":"W4283460899","doi":"10.1017/cjn.2022.132","title":"P.030 Association between multiple sclerosis and seizures: a systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Observational study; Medicine; Epilepsy; Meta-analysis; Incidence (geometry); Multiple sclerosis; Population; Pediatrics; Relative risk; Risk factor; MEDLINE; Internal medicine; Psychiatry; Confidence interval; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007875768,0.002268535,0.01264838,0.005876952,0.0005886158,0.003059637,0.001696173,0.002326178,0.007230929],"category_scores_gemma":[0.02216455,0.001262495,0.03136898,0.008141253,0.0005871475,0.001703959,0.001223158,0.001691666,0.0004792186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951878,"about_ca_system_score_gemma":0.003142194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007182143,"about_ca_topic_score_gemma":0.01371787,"domain_scores_codex":[0.9937169,0.002628987,0.002018908,0.0006402132,0.0007228409,0.0002722284],"domain_scores_gemma":[0.9872859,0.009721428,0.00162583,0.0002399856,0.0009667621,0.0001600957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001613572,0.00002240154,0.00714606,0.4826373,0.4905033,0.0002458312,0.00007749746,0.0004803328,0.0002299628,0.0001665734,0.001340281,0.01553688],"study_design_scores_gemma":[0.0005997001,0.0001290432,0.005419439,0.03430023,0.9560748,0.0001593535,0.00004337349,0.0002221251,0.00009609074,0.0002214753,0.002713967,0.00002041845],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003058679,0.9949113,0.0004066356,0.0002631822,0.0001763805,0.00021534,0.0006024938,0.00002168278,0.0003442983],"genre_scores_gemma":[0.1285026,0.8658207,0.00191605,0.0009001045,0.0003646036,0.001063685,0.0008177077,0.00003145346,0.000583019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01264838,"threshold_uncertainty_score":0.04165155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2921648940806622,"score_gpt":0.3744444467216222,"score_spread":0.0822795526409601,"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."}}