{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604524,0.000711588,0.0004299622,0.001035733,0.0001894044,0.0004401514,0.0002540527,0.0003612591,0.00116289],"category_scores_gemma":[0.009742405,0.000145402,0.0003808554,0.0002686362,0.0002398798,0.0005656594,0.0004533067,0.0002772895,0.0004271393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902212,"about_ca_system_score_gemma":0.0003389709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578014,"about_ca_topic_score_gemma":0.003471964,"domain_scores_codex":[0.9993535,0.0001605904,0.0001092343,0.0001811591,0.0001341211,0.00006144343],"domain_scores_gemma":[0.9972326,0.001305762,0.0007654572,0.0001723379,0.0003825944,0.0001413129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008521609,0.0001140326,0.890136,0.0001168888,0.000199451,0.0001941693,0.0001526275,0.002106935,0.008745611,0.00006999915,0.0009216645,0.09639037],"study_design_scores_gemma":[0.00005305863,0.0008405168,0.9734735,0.00005612703,0.0002148147,0.00108491,0.0001909771,0.01526037,0.008041678,0.0003349672,0.0004190032,0.00003004094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879463,0.0006645733,0.009545488,0.0001596527,0.00003882825,0.00003930029,0.0003263577,0.0003050422,0.0009744236],"genre_scores_gemma":[0.9977144,0.00009196959,0.001805843,0.00002186814,0.00001882862,0.00000757291,0.000204886,0.00001487891,0.0001197723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001604524,"threshold_uncertainty_score":0.008485675,"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."}}