{"id":"W4415296194","doi":"10.1111/epi.18598","title":"Paroxysmal slow wave events as a diagnostic biomarker for epilepsy: Lessons from rural Zambia","year":2025,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Dalhousie University","keywords":"Diagnostic biomarker; Biomarker; Diagnostic accuracy; Diagnostic test; Epilepsy; Electroencephalography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001387004,0.0006158947,0.0004249737,0.0007048555,0.0006226915,0.001209584,0.0003386849,0.0004569647,0.0009466932],"category_scores_gemma":[0.004292853,0.0002572077,0.0002231326,0.0008094682,0.0009880587,0.001419907,0.0007347475,0.0008708349,0.0001687776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319711,"about_ca_system_score_gemma":0.001780516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06036058,"about_ca_topic_score_gemma":0.1072671,"domain_scores_codex":[0.9997628,0.0001026968,0.00002343736,0.00003335437,0.0000268634,0.00005080848],"domain_scores_gemma":[0.9988841,0.0003294043,0.0002929143,0.00007059753,0.0003101511,0.0001127525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004476825,0.00008315932,0.7552943,0.001702045,0.0001840715,0.004335681,0.01133453,0.0005018541,0.00546995,0.001794044,0.004727732,0.2141249],"study_design_scores_gemma":[0.00004868886,0.0003505959,0.9523369,0.003443753,0.0002995142,0.002490187,0.01958967,0.0008724548,0.0006929596,0.001828143,0.0179914,0.00005573599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977402,0.06382414,0.002024616,0.03064767,0.0002632206,0.0001084593,0.0004009937,0.00003901559,0.004951526],"genre_scores_gemma":[0.9696487,0.02619659,0.002212553,0.001236639,0.0001490945,0.00003549322,0.00009657023,0.000008190523,0.0004161457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06036058,"threshold_uncertainty_score":0.1200185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557419639944482,"score_gpt":0.3518054352505157,"score_spread":0.3162312388510709,"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."}}