{"id":"W4210870123","doi":"10.1101/2022.02.06.22270548","title":"TOWARDS A SINGLE PARAMETER FOR THE ASSESSMENT OF EEG OSCILLATIONS","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Amplitude; Electroencephalography; Flow (mathematics); Clockwise; Boundary (topology); Scalp; Physics; Mathematical analysis; Mathematics; Pattern recognition (psychology); Computer science; Artificial intelligence; Geometry; Psychology; Optics; Neuroscience; Biology","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":[0.003665037,0.001437904,0.001264615,0.003697491,0.0001966132,0.001743428,0.0006627186,0.001335433,0.00134083],"category_scores_gemma":[0.02041072,0.0003441969,0.0006211521,0.002071654,0.0009093283,0.001976673,0.001084644,0.001303764,0.000723051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256627,"about_ca_system_score_gemma":0.0003761514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003923061,"about_ca_topic_score_gemma":0.0002427144,"domain_scores_codex":[0.9980206,0.0008404155,0.0001900164,0.0005419537,0.0003473567,0.00005955362],"domain_scores_gemma":[0.9904907,0.006042181,0.001140138,0.001165976,0.000870333,0.0002907174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002082464,0.0007762582,0.1456774,0.001206132,0.0008139896,0.000501407,0.0006843943,0.1163134,0.1807825,0.007541061,0.002673284,0.5409477],"study_design_scores_gemma":[0.0001253265,0.001320806,0.1223385,0.0003358994,0.000288338,0.001052398,0.0004324583,0.8040719,0.04412629,0.02238792,0.003214771,0.0003054444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2760644,0.001999828,0.714864,0.0004151312,0.0001953225,0.0003043342,0.001971757,0.001897828,0.002287358],"genre_scores_gemma":[0.8318869,0.0004503085,0.1655131,0.00007472554,0.0001962976,0.0003079022,0.0009913292,0.0001972761,0.0003823054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003697491,"threshold_uncertainty_score":0.01938277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06520624619116387,"score_gpt":0.3363678607855719,"score_spread":0.271161614594408,"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."}}