{"id":"W4410824741","doi":"10.1016/j.ebiom.2025.105780","title":"Paroxysmal cortical slowing linked to drug-resistant epilepsy","year":2025,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; McGill University; Montreal Neurological Institute and Hospital; Dalhousie University","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Epilepsy; Drug Resistant Epilepsy; Medicine; Drug; Drug resistance; Neuroscience; Biology; Pharmacology; Genetics","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":[0.0007751823,0.0004440255,0.0002889666,0.0008848597,0.0001869057,0.0004786112,0.0002087895,0.0001829874,0.002208809],"category_scores_gemma":[0.002837979,0.00007894787,0.0003372924,0.0008059534,0.0002271334,0.0002432939,0.0003767404,0.0002970664,0.0002590253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940084,"about_ca_system_score_gemma":0.0001621294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091053,"about_ca_topic_score_gemma":0.001723715,"domain_scores_codex":[0.9996688,0.00009219431,0.00005002098,0.0001034702,0.00005247866,0.00003301805],"domain_scores_gemma":[0.9964346,0.0007195435,0.002261414,0.0001778428,0.0002057487,0.0002009105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003305358,0.00002227316,0.9945822,0.00004241013,0.0001114716,0.0001710276,0.00003291873,0.0001052158,0.001016549,0.00001860925,0.000086691,0.003480064],"study_design_scores_gemma":[0.000004061067,0.00005087226,0.9990569,0.000006248632,0.0000252254,0.0004673776,0.00001836165,0.0001489846,0.0001327406,0.00002290468,0.00006488443,0.000001480965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982567,0.0003848789,0.0002663668,0.00002616325,0.000003699248,0.0000129213,0.0005425906,0.00001302788,0.0004935845],"genre_scores_gemma":[0.9991506,0.00009877087,0.0001394787,0.000009499458,0.000006787979,0.000006637366,0.000517624,0.000002091127,0.00006851217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208809,"threshold_uncertainty_score":0.007389188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576346279512585,"score_gpt":0.3303085887615386,"score_spread":0.3145451259664128,"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."}}