{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281759,0.0001032421,0.0003176574,0.00008291427,0.0001133062,0.00002215956,0.0001611182,0.00004597359,0.00003167532],"category_scores_gemma":[0.0003006458,0.0000575814,0.00006937522,0.00007629732,0.0002958392,0.00007456815,0.00003331055,0.0002679569,0.00001012145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002486453,"about_ca_system_score_gemma":0.00008761126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697782,"about_ca_topic_score_gemma":0.0003790486,"domain_scores_codex":[0.9989245,0.0001378157,0.000196126,0.0001973775,0.0001790146,0.0003651798],"domain_scores_gemma":[0.9989356,0.000330192,0.0001116162,0.0004637262,0.00009013674,0.00006866952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001162871,0.0003779796,0.9807299,0.00002178235,0.0001088169,0.001178498,0.0002568495,0.000002713234,0.0007633665,0.0007265931,0.0006020879,0.01406856],"study_design_scores_gemma":[0.0005758115,0.003194001,0.9893256,0.00002249617,0.00001612022,0.0002179046,0.00004911634,0.00002217718,0.005066037,0.000404421,0.00105559,0.00005070587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648,0.0001702517,0.000003507638,0.03245131,0.00002593509,0.0002925545,0.000002643739,0.00000828782,0.002245491],"genre_scores_gemma":[0.9976384,0.0006873684,0.00001745892,0.001477909,0.00005263952,0.0000682109,0.000006578733,0.000009711064,0.00004174022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03283837,"threshold_uncertainty_score":0.2348101,"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."}}