{"id":"W2055726526","doi":"10.1016/j.clinph.2011.06.006","title":"A comparison between detectors of high frequency oscillations","year":2011,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital","keywords":"Detector; False positive paradox; Computer science; Sensitivity (control systems); Ranking (information retrieval); Artificial intelligence; Pattern recognition (psychology); Receiver operating characteristic; Machine learning; Electronic engineering; Engineering; Telecommunications","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":[0.0001030952,0.0001440743,0.0005328762,0.00006969235,0.00006996664,0.000005874846,0.0005337538,0.0001315336,0.0001421947],"category_scores_gemma":[0.001078365,0.0001180017,0.0001647009,0.000212494,0.0006012011,0.00006708387,0.0001858253,0.0003541065,0.0001601682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004338097,"about_ca_system_score_gemma":0.0000260603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004064249,"about_ca_topic_score_gemma":0.000002564586,"domain_scores_codex":[0.997667,0.0006064533,0.0008432118,0.0005252908,0.0001063528,0.0002516586],"domain_scores_gemma":[0.99712,0.002004831,0.0002951931,0.000425562,0.00004555811,0.0001088451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000969897,0.0005871168,0.1618749,0.00002567976,0.00002485602,0.00002387388,0.0003348282,0.00004005849,0.8232332,0.004255482,0.0002863031,0.009216624],"study_design_scores_gemma":[0.0003406296,0.001656796,0.8271991,0.00001103561,0.00002127496,0.000003092809,0.000007537548,0.0001726291,0.1615887,0.00862445,0.0002132725,0.0001614534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972245,0.000005384989,0.0004375369,0.00006649656,0.001008178,0.0001210353,0.00002097809,0.00008494527,0.001030918],"genre_scores_gemma":[0.9982283,0.00001154151,0.0009902726,0.0004971298,0.0002186074,0.000003498641,0.000001767887,0.00001584385,0.00003299994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6653242,"threshold_uncertainty_score":0.481197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1965372203760163,"score_gpt":0.3903101961207304,"score_spread":0.1937729757447141,"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."}}