{"id":"W4392885710","doi":"10.1007/s10439-024-03486-0","title":"A Review on Automated Sleep Study","year":2024,"lang":"en","type":"review","venue":"Annals of Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Machine learning; Computer science; Support vector machine; Modalities; Strengths and weaknesses; Classifier (UML); Data science; Deep learning; Feature selection; Field (mathematics); Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001868363,0.001512907,0.002861938,0.006015758,0.0002960152,0.001354892,0.001523466,0.001625542,0.006378075],"category_scores_gemma":[0.005182534,0.0004770253,0.001315181,0.005040304,0.0007311393,0.002397823,0.001183621,0.001315088,0.002676724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161953,"about_ca_system_score_gemma":0.002240236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532305,"about_ca_topic_score_gemma":0.003244531,"domain_scores_codex":[0.9993349,0.0001638103,0.0001654622,0.0001468644,0.000157416,0.00003158248],"domain_scores_gemma":[0.9968535,0.002099604,0.0003160618,0.00008903471,0.0005622554,0.00007951399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001369628,0.00005259034,0.0002715306,0.03313618,0.0003401269,0.0001060664,0.0000307844,0.0002215397,0.0005975215,0.001059759,0.03302683,0.9310201],"study_design_scores_gemma":[0.0001448501,0.0004073889,0.004009967,0.03488509,0.002126107,0.002079311,0.0001346156,0.0005274232,0.001126037,0.004960018,0.9494819,0.0001172765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006958521,0.9983425,0.0004472007,0.0002839806,0.000340057,0.00001058247,0.0000711012,0.00001043247,0.0004245448],"genre_scores_gemma":[0.0008164053,0.9960691,0.0008255941,0.0007317184,0.0009176755,0.00002792461,0.0001294754,0.000007464492,0.00047473],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006378075,"threshold_uncertainty_score":0.02133679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1190581243518627,"score_gpt":0.408386554762817,"score_spread":0.2893284304109544,"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."}}