{"id":"W2997020719","doi":"10.1109/tbme.2019.2963430","title":"Excitation and Inhibition Balance Underlying Epileptiform Activity","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Balance (ability); Ictal; Electroencephalography; Neuroscience; Epilepsy; Psychology; Audiology; Medicine","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":[0.00005306021,0.0001176928,0.0001102028,0.00008636418,0.00009081763,0.00004472661,0.00006188721,0.00006801982,0.00002315793],"category_scores_gemma":[0.00002941943,0.0001132481,0.00003702422,0.0002771234,0.00005903758,0.0002319824,0.00000171045,0.0002615803,0.00002019502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978857,"about_ca_system_score_gemma":0.00001044131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003315371,"about_ca_topic_score_gemma":4.453829e-7,"domain_scores_codex":[0.9991985,0.00001850306,0.0001277048,0.0002782987,0.0002024212,0.0001745962],"domain_scores_gemma":[0.9995409,0.0001878775,0.00002467046,0.00006587893,0.000007860429,0.0001728577],"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":[0.00001869193,0.00004251751,7.096876e-7,0.00004799956,0.000004172687,0.000008768977,0.0003202428,0.00527794,0.9626413,0.00006049006,0.00002760624,0.03154955],"study_design_scores_gemma":[0.0003584134,0.0001908193,0.000127992,0.00006059787,0.000005658401,0.00001501601,0.00002132851,0.4842145,0.514093,0.00002885928,0.0007351101,0.0001487297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4087328,0.00000396906,0.5895566,0.001228482,0.0002240992,0.00006262974,0.00001002548,0.0001542052,0.00002709619],"genre_scores_gemma":[0.9985294,0.00002923179,0.0008073083,0.0005387944,0.00005747753,0.00001243488,7.33444e-7,0.00001353427,0.00001110295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5897965,"threshold_uncertainty_score":0.4618122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401182589146914,"score_gpt":0.2602803376133982,"score_spread":0.2201620786987068,"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."}}