{"id":"W3184894247","doi":"10.18280/ts.380323","title":"Quantitative Analysis of EEG Slow Wave Activity Based on MinPeakProminence Method","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; Konya Teknik Üniversitesi","keywords":"Electroencephalography; Occipital region; Brain waves; sort; Sensitivity (control systems); Epilepsy; Artificial intelligence; Computer science; Pattern recognition (psychology); Statistical analysis; Audiology; Psychology; Neuroscience; Medicine; Statistics; Mathematics; Anatomy; Information retrieval; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552931,0.0007372466,0.0006303636,0.003163695,0.0001863789,0.001033588,0.000390505,0.0004490968,0.001493713],"category_scores_gemma":[0.005360882,0.0001064442,0.000506557,0.001671014,0.0002676514,0.0008057046,0.0005025343,0.0003020666,0.0006201048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239658,"about_ca_system_score_gemma":0.0002635072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007148546,"about_ca_topic_score_gemma":0.0008011058,"domain_scores_codex":[0.9987385,0.0001917222,0.0001645577,0.0002533278,0.0005629656,0.00008910181],"domain_scores_gemma":[0.9975637,0.001134539,0.0004503982,0.0001761094,0.0006002233,0.0000750703],"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":[0.00208911,0.0003601282,0.1317925,0.001339943,0.0006762767,0.0007949078,0.0004415721,0.03179954,0.08890842,0.001946211,0.005620254,0.7342312],"study_design_scores_gemma":[0.00008779928,0.001300288,0.4051017,0.0001273986,0.000282432,0.002848923,0.0005825305,0.5109813,0.06696951,0.002337176,0.009197325,0.0001835221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5594298,0.002241756,0.4238986,0.0001552128,0.0001707803,0.0004260695,0.005515297,0.002689241,0.005473118],"genre_scores_gemma":[0.9055628,0.0006892713,0.08539781,0.00003529937,0.000130215,0.0004723616,0.005733847,0.0001205622,0.001857689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003163695,"threshold_uncertainty_score":0.008212745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06886930087022353,"score_gpt":0.3323943017994945,"score_spread":0.263525000929271,"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."}}