{"id":"W1573371752","doi":"10.1177/1550059415603050","title":"Quantitative EEG of Rapid-Eye-Movement Sleep","year":2015,"lang":"en","type":"article","venue":"Clinical EEG and Neuroscience","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; Hôpital Notre-Dame; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Université du Québec à Montréal","funders":"","keywords":"Electroencephalography; Wakefulness; Basal forebrain; Rapid eye movement sleep; Audiology; Psychology; K-complex; Sleep (system call); Non-rapid eye movement sleep; Sleep Stages; Eye movement; Slow-wave sleep; Neuroscience; Polysomnography; Medicine; Cholinergic","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001556665,0.0001538848,0.0003272455,0.0001087417,0.0001591893,0.00007149229,0.0005994226,0.00007613651,0.00002222062],"category_scores_gemma":[0.01313237,0.000120559,0.0000938536,0.0006844047,0.001914087,0.0002884202,0.000373727,0.0003256166,0.00004312381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001172242,"about_ca_system_score_gemma":0.0001259072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001420502,"about_ca_topic_score_gemma":0.000001928758,"domain_scores_codex":[0.9968817,0.0004920249,0.0005898059,0.0008071245,0.0008000716,0.0004293057],"domain_scores_gemma":[0.99744,0.001344778,0.0001761853,0.0004064575,0.0001233351,0.0005091846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001078185,0.002287292,0.04999935,0.00007998217,0.000007994822,0.0002101001,0.0008675185,0.0002299016,0.7602891,0.05114718,0.003255859,0.1305476],"study_design_scores_gemma":[0.006878931,0.01561725,0.2676294,0.0001272812,0.00005212821,0.00003508935,0.0009321123,0.06588706,0.5872452,0.01900526,0.03533519,0.001255027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920123,0.0001182916,0.0008525929,0.001079748,0.001249187,0.0002552909,0.00001756959,0.00004628423,0.004368708],"genre_scores_gemma":[0.9960011,0.0002844629,0.0001477905,0.003080424,0.00003335951,0.00001339539,3.071496e-7,0.00001149771,0.0004276638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176301,"threshold_uncertainty_score":0.9951804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2974151006682866,"score_gpt":0.4638983965777428,"score_spread":0.1664832959094562,"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."}}