{"id":"W4281652293","doi":"10.1136/jnnp-2022-abn.170","title":"137  Accuracy of using administrative data to identify epilepsy cases: a systematic review of validation studies","year":2022,"lang":"en","type":"review","venue":"Journal of Neurology Neurosurgery & Psychiatry","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diagnosis code; Epilepsy; Coding (social sciences); ICD-10; MEDLINE; Algorithm; Pediatrics; Internal medicine; Psychiatry; Statistics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.08803423,0.001688263,0.008159671,0.01792427,0.0007915761,0.004718779,0.003375047,0.002349342,0.002074636],"category_scores_gemma":[0.3922445,0.002062675,0.01121872,0.01386044,0.002307432,0.004344652,0.002522197,0.001397414,0.0002669491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004203046,"about_ca_system_score_gemma":0.008991941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009532065,"about_ca_topic_score_gemma":0.01617778,"domain_scores_codex":[0.878607,0.04535163,0.05657573,0.006188903,0.01244424,0.000832401],"domain_scores_gemma":[0.4117036,0.475444,0.07773004,0.009499063,0.02496215,0.0006613046],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004537833,0.00002493269,0.02516204,0.8809828,0.05493128,0.0001979999,0.0005884408,0.0002742119,0.0001444097,0.0003622992,0.0007404016,0.03613732],"study_design_scores_gemma":[0.0002834428,0.0001883703,0.033398,0.8020457,0.1531673,0.0007344708,0.0004705587,0.0003243434,0.000388133,0.000494512,0.008421674,0.00008360435],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007040273,0.9892529,0.0008117737,0.0005083834,0.0001570727,0.0005243807,0.001195072,0.00001226298,0.0004978364],"genre_scores_gemma":[0.2097833,0.7770419,0.006311174,0.001874371,0.0003650992,0.002109526,0.002337715,0.00003851492,0.000138433],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9918403,"threshold_uncertainty_score":0.465575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2593730570913612,"score_gpt":0.4712768726372278,"score_spread":0.2119038155458666,"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."}}