{"id":"W3163035523","doi":"10.3390/s21103316","title":"A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Electroencephalography; Polysomnography; Sleep (system call); Dementia; Sleep Stages; Computer science; Deep learning; Slow-wave sleep; Artificial intelligence; Medicine; Disease; Internal medicine; Psychiatry","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":[0.0004071177,0.0008204569,0.0003275106,0.0004662354,0.0002412415,0.0004044769,0.0008034942,0.0005128278,0.001508661],"category_scores_gemma":[0.001339736,0.0002962078,0.0004259775,0.0004022265,0.0002436091,0.0005475223,0.0006709497,0.00089146,0.0005611936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334169,"about_ca_system_score_gemma":0.0007974276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009751145,"about_ca_topic_score_gemma":0.01420799,"domain_scores_codex":[0.9998463,0.00002020241,0.0000113146,0.00005735542,0.0000330946,0.00003168017],"domain_scores_gemma":[0.9997641,0.00006448131,0.00002541633,0.00003139097,0.00009617607,0.00001843784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002771717,0.0002478602,0.004028016,0.0001005725,0.00009007112,0.0001714469,0.0001081292,0.1812832,0.03651055,0.002476031,0.005459304,0.7692475],"study_design_scores_gemma":[0.000006609542,0.00004087457,0.0008745902,0.000008174393,0.00001085303,0.00002583785,0.000009128869,0.9911343,0.006174792,0.001009707,0.0006991195,0.000006002146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05627866,0.0003403634,0.938795,0.0002857212,0.00007790731,0.00008918915,0.0002564747,0.002334576,0.00154208],"genre_scores_gemma":[0.7818053,0.0002650567,0.2093747,0.000323384,0.00004977002,0.0002023453,0.0008631092,0.0001122103,0.007004058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009751145,"threshold_uncertainty_score":0.01938879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06948215918722901,"score_gpt":0.3204148511642916,"score_spread":0.2509326919770626,"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."}}