{"id":"W2042648224","doi":"10.1109/ner.2013.6695872","title":"Neural synchrony-monitoring wireless brain implant for intractable epilepsy neuromodulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Brain implant; Epilepsy; Neuromodulation; Computer science; Neurophysiology; Stimulation; Brain–computer interface; Neural engineering; Neural Prosthesis; Closed loop; Neuroscience; Electroencephalography; Artificial intelligence; Psychology; Engineering; Control engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002353244,0.0003550888,0.0001954746,0.0002211929,0.000114337,0.0002095699,0.0003598491,0.0002056645,0.001217468],"category_scores_gemma":[0.000548783,0.00006679782,0.0001346472,0.0001346698,0.000160001,0.0002969514,0.0002275277,0.0001442178,0.000213475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978315,"about_ca_system_score_gemma":0.0002390984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981887,"about_ca_topic_score_gemma":0.0006620835,"domain_scores_codex":[0.9998475,0.0000370424,0.00001023708,0.00002106273,0.00006763351,0.00001654408],"domain_scores_gemma":[0.9997959,0.00007044947,0.00003919665,0.00001844177,0.00006078195,0.00001533014],"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":[0.0007627347,0.0001696688,0.003105065,0.0003486911,0.00005829239,0.000342864,0.000139818,0.008820374,0.8647243,0.001255161,0.0009593387,0.1193138],"study_design_scores_gemma":[0.0001977066,0.005627266,0.01236553,0.00004909536,0.0001739497,0.001232417,0.00009350398,0.1319228,0.8374901,0.0009258759,0.00987865,0.00004319564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6505863,0.0007618029,0.3396539,0.0003845606,0.0002170205,0.0002534047,0.0004908731,0.002393512,0.005258616],"genre_scores_gemma":[0.9741731,0.0001738281,0.02415381,0.00006104631,0.00001690029,0.00006646628,0.00007982726,0.00003137298,0.001243623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001217468,"threshold_uncertainty_score":0.004072785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217020440498414,"score_gpt":0.2685684377583239,"score_spread":0.2363982333533398,"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."}}