{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447938,0.0001397405,0.0002700019,0.00009078086,0.00003463211,0.00004530459,0.0002942942,0.00009361165,0.00001978862],"category_scores_gemma":[0.0002832577,0.0001057544,0.00003184099,0.0002252579,0.0001511614,0.0004306463,0.0001205769,0.0002356666,0.00003774169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005441261,"about_ca_system_score_gemma":0.00009918336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187714,"about_ca_topic_score_gemma":0.00006355592,"domain_scores_codex":[0.9984857,0.0001355063,0.0003473171,0.0003617964,0.0004219139,0.0002477712],"domain_scores_gemma":[0.9994265,0.00003305855,0.0001287964,0.0002388307,0.00007956816,0.00009328399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001984399,0.001094754,0.02146357,0.0001260617,0.00001183426,0.000007475966,0.002083489,0.00003717609,0.9737978,0.00005661459,0.0004531955,0.0006695921],"study_design_scores_gemma":[0.0007683717,0.0004205209,0.00189435,0.0002950321,0.00001285827,0.00000579502,0.0001349361,0.01019437,0.9858134,0.0002737457,0.00005832062,0.0001282858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975771,0.0000576663,0.00008862294,0.0007600154,0.0002359627,0.0003846633,0.0000314318,0.00008509451,0.00077939],"genre_scores_gemma":[0.997457,0.000005327879,0.001162714,0.0001977135,0.0001769433,0.00002963113,0.000002280892,0.00001606597,0.000952324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01956922,"threshold_uncertainty_score":0.431254,"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."}}