{"id":"W2604387932","doi":"10.1002/ana.24928","title":"Tailoring epilepsy surgery with fast ripples in the intraoperative electrocorticogram","year":2017,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Stichting Epilepsie Instellingen Nederland; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Electrocorticography; Epilepsy; Electroencephalography; Epilepsy surgery; Anterior temporal lobectomy; Medicine; Temporal lobectomy; Hazard ratio; Confidence interval; Surgery; Temporal lobe; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002847714,0.0003484263,0.0002240922,0.0003415725,0.0001013003,0.0001768454,0.000114676,0.0001636389,0.0004380045],"category_scores_gemma":[0.001188131,0.00006917716,0.0002800945,0.000256567,0.0001904509,0.0002158432,0.0002314672,0.0001168311,0.0001329315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009905482,"about_ca_system_score_gemma":0.0001699613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002839973,"about_ca_topic_score_gemma":0.0007533018,"domain_scores_codex":[0.9998633,0.00002475777,0.00003042366,0.00002372352,0.00002937975,0.00002856379],"domain_scores_gemma":[0.9993811,0.0001613178,0.0003181683,0.0000502664,0.00004285971,0.00004617731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001960375,0.00007621534,0.919217,0.0001079356,0.0001252076,0.002484011,0.000122795,0.001152507,0.02066867,0.0000211343,0.0001237895,0.0539403],"study_design_scores_gemma":[0.0000294423,0.001029125,0.9822596,0.00002328865,0.00011372,0.006922642,0.0001292311,0.0009499286,0.008168102,0.00006813789,0.0002935764,0.0000132326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985253,0.0002329389,0.0009721292,0.00001006017,0.000003826362,0.00001669524,0.00005652821,0.0000127098,0.000169828],"genre_scores_gemma":[0.999283,0.0001262076,0.0003818313,0.000007689271,0.000009255116,0.00001147999,0.00009781332,0.000002803943,0.00007989536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004380045,"threshold_uncertainty_score":0.001506031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09472377024921695,"score_gpt":0.3670138205288486,"score_spread":0.2722900502796316,"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."}}