{"id":"W4200245401","doi":"10.1111/epi.17145","title":"Correcting for physiological ripples improves epileptic focus identification and outcome prediction","year":2021,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Epilepsy; Medicine; Epilepsy surgery; Nuclear medicine; Internal medicine; Audiology; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002411073,0.0001329117,0.000276248,0.00005501627,0.0001710766,0.00004698466,0.00003839718,0.0000915516,0.0000712616],"category_scores_gemma":[0.0008014227,0.0001054675,0.0001136861,0.0001244222,0.00007043475,0.00008835199,0.00004332464,0.0001519384,0.00002960278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007173406,"about_ca_system_score_gemma":0.00006261218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001501028,"about_ca_topic_score_gemma":0.000009311177,"domain_scores_codex":[0.9987561,0.00005525555,0.0003253347,0.000399466,0.000179586,0.0002842991],"domain_scores_gemma":[0.9991344,0.0002126298,0.00007339706,0.0002453807,0.0001704826,0.0001637515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004155129,0.0006418066,0.5625375,0.0003236239,0.0003048662,0.00008499454,0.0002461298,0.000003017975,0.2958582,0.00136743,0.003218463,0.1349985],"study_design_scores_gemma":[0.001775176,0.0006926276,0.9661979,0.00005355667,0.0001316073,0.0001496915,0.0003055493,0.001624434,0.02685093,0.001454806,0.0006589987,0.0001047224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931401,0.0007700064,0.003298018,0.001333826,0.0002768602,0.0007098703,0.00005305907,0.0001021298,0.0003161131],"genre_scores_gemma":[0.995428,0.0001327107,0.001890688,0.00009699919,0.0002751084,0.0002276164,0.0002096009,0.00001786145,0.001721436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036604,"threshold_uncertainty_score":0.430084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038345883836112,"score_gpt":0.3393229219806446,"score_spread":0.2889394631422835,"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."}}