{"id":"W1965601051","doi":"10.1371/journal.pone.0121182","title":"Scale Invariance Properties of Intracerebral EEG Improve Seizure Prediction in Mesial Temporal Lobe Epilepsy","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital; Royal Society; Royal Society of Canada; California HIV/AIDS Research Program","keywords":"Epilepsy; Electroencephalography; Temporal lobe; Mesial temporal lobe epilepsy; Neuroscience; Audiology; Medicine; Pattern recognition (psychology); Psychology; Cognitive psychology","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":[0.0004406346,0.0003605282,0.0002258434,0.0003350357,0.00008440489,0.0002356069,0.0001133312,0.000187218,0.0004042872],"category_scores_gemma":[0.004629441,0.00007231624,0.0001811483,0.0001996663,0.0001776035,0.0003040663,0.0002328637,0.0002619824,0.0001133262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009277779,"about_ca_system_score_gemma":0.00009973477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672906,"about_ca_topic_score_gemma":0.0007634556,"domain_scores_codex":[0.9998603,0.0000529643,0.00001562144,0.00002703816,0.00003140522,0.00001268985],"domain_scores_gemma":[0.9991235,0.0005121122,0.0001536413,0.00008742377,0.00007728847,0.00004597955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001655434,0.0003151188,0.3547478,0.000153013,0.0003484511,0.0006332994,0.0003339579,0.03964746,0.08315091,0.0005341245,0.0009953654,0.517485],"study_design_scores_gemma":[0.00004547224,0.001230241,0.6753554,0.00001493638,0.000141269,0.0009697271,0.0001468537,0.2956994,0.02417209,0.00167874,0.0005037244,0.00004213905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835064,0.0001858566,0.0156724,0.00006940509,0.000008640418,0.00001534672,0.00006024898,0.00008200952,0.0003996651],"genre_scores_gemma":[0.9968257,0.00005059804,0.002975212,0.000008655768,0.000007921494,0.000003067257,0.00006531682,0.000006070384,0.00005738126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004672906,"threshold_uncertainty_score":0.002330303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943841593256977,"score_gpt":0.2325630558056483,"score_spread":0.1631246398730785,"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."}}