{"id":"W3028962448","doi":"10.1111/epi.16547","title":"The accuracy of using administrative healthcare data to identify epilepsy cases: A systematic review of validation studies","year":2020,"lang":"en","type":"review","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Epilepsy Research UK","keywords":"Diagnosis code; Medicine; Epilepsy; MEDLINE; Coding (social sciences); ICD-10; Predictive value; Health care; Systematic review; Pediatrics; Algorithm; Internal medicine; Psychiatry; Population; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00217601,0.0005444345,0.005933573,0.0001716697,0.0001687473,0.00003260282,0.0008939218,0.0001403156,0.00002593386],"category_scores_gemma":[0.02194103,0.0003040954,0.0006245482,0.001034152,0.0001789796,0.0001351732,0.0006383854,0.0004691701,0.00006918897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003790663,"about_ca_system_score_gemma":0.002256951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007615165,"about_ca_topic_score_gemma":0.00001916781,"domain_scores_codex":[0.9933398,0.001646942,0.002814211,0.0007282891,0.00105816,0.0004125751],"domain_scores_gemma":[0.98909,0.004732184,0.002284909,0.002650071,0.0008626725,0.0003802021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003974836,0.00009395095,0.00002673789,0.972059,0.002347432,0.0002609375,0.0001682954,2.945406e-8,6.847745e-7,0.0001118417,0.002049566,0.02284182],"study_design_scores_gemma":[0.0002170169,0.0007834175,0.00001191022,0.9346128,0.008856318,0.0003792597,0.0005832087,0.000004511515,0.000007848489,0.0000126729,0.05433802,0.0001930949],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000014115,0.9861236,0.0000240552,0.001376968,0.0001600153,0.01104925,0.001192924,0.00002289945,0.00003617393],"genre_scores_gemma":[0.0003666593,0.9971749,0.0005353838,0.0001551431,0.000135951,0.0005956728,0.0009159355,0.00006092372,0.00005947789],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05228845,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5464912670180189,"score_gpt":0.5885220960315254,"score_spread":0.04203082901350652,"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."}}