{"id":"W2162124907","doi":"10.1111/epi.12805","title":"The diagnostic test accuracy of a screening questionnaire and algorithm in the identification of adults with epilepsy","year":2014,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Hotchkiss Brain Institute; McGill University; University of Calgary; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Alberta Innovates; National Cancer Institute; Public Health Agency of Canada; Government of Canada; Public Health Agency","keywords":"Epilepsy; Test (biology); Identification (biology); Medicine; Algorithm; Screening test; Computer science; Pediatrics; Psychiatry; Biology","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":[0.02500678,0.0006088124,0.0006324653,0.003604276,0.0004118542,0.001225692,0.001041459,0.001306101,0.0009823345],"category_scores_gemma":[0.08005357,0.0002524815,0.00124522,0.001512576,0.0008368751,0.0009879661,0.001265301,0.0004956725,0.0003285172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305343,"about_ca_system_score_gemma":0.001747326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321737,"about_ca_topic_score_gemma":0.01356039,"domain_scores_codex":[0.9814465,0.009783657,0.002227288,0.001397648,0.004459565,0.0006852587],"domain_scores_gemma":[0.957265,0.02533272,0.007322633,0.001482591,0.007916291,0.0006808148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003843172,0.00006320242,0.9884144,0.0000701973,0.0002065135,0.00002595688,0.0001178881,0.0004266253,0.0001336804,0.00008593014,0.0004677676,0.009603403],"study_design_scores_gemma":[0.00009549124,0.0004289169,0.9866945,0.000127707,0.0002158693,0.0003776874,0.0002156438,0.01048139,0.0003447385,0.0002251005,0.0007679152,0.00002511619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856431,0.002343696,0.004803482,0.0005856431,0.0001175153,0.0003772292,0.001666183,0.0001006089,0.004362518],"genre_scores_gemma":[0.9935539,0.0002377044,0.004713688,0.0001560818,0.00003119467,0.0001168513,0.001016751,0.000005647173,0.0001682739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02500678,"threshold_uncertainty_score":0.1322501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008594699814761615,"score_gpt":0.2742503827174259,"score_spread":0.2656556829026643,"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."}}