{"id":"W2896011380","doi":"10.3390/clockssleep1010006","title":"Scale-Free Dynamics of the Mouse Wakefulness and Sleep Electroencephalogram Quantified Using Wavelet-Leaders","year":2018,"lang":"en","type":"article","venue":"Clocks & Sleep","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; École de Technologie Supérieure; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wakefulness; Electroencephalography; Scale (ratio); Sleep (system call); Dynamics (music); Neuroscience; Psychology; Computer science; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003931259,0.0003020068,0.0003603529,0.0001826826,0.0006979846,0.0001139423,0.001358048,0.0001867331,0.00007282291],"category_scores_gemma":[0.0008732514,0.0002047512,0.000141834,0.001057754,0.002830659,0.0002277259,0.0005931355,0.0004869644,0.00001398114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163021,"about_ca_system_score_gemma":0.00006830353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670993,"about_ca_topic_score_gemma":0.0003982913,"domain_scores_codex":[0.9968534,0.0003188791,0.000425026,0.000740334,0.0007724647,0.0008899044],"domain_scores_gemma":[0.9978949,0.0002844427,0.0001835242,0.001251047,0.0001966759,0.0001894566],"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":[0.000575033,0.0007683225,0.02902738,0.0002226862,0.000128338,0.00004525958,0.002692677,0.0002611269,0.7280765,0.009464973,0.0006284521,0.2281093],"study_design_scores_gemma":[0.001066636,0.0002360627,0.00217409,0.00003523581,0.00006177244,0.00007666267,0.0005345451,0.1587141,0.8343889,0.001972866,0.0003679166,0.0003712447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919564,0.00007407557,0.005175427,0.0009032364,0.0004863736,0.0004943141,0.00004549157,0.00008807047,0.0007765967],"genre_scores_gemma":[0.9987441,0.00001911181,0.0004006278,0.0003197757,0.0001748001,0.00002534788,0.000003615113,0.00005415192,0.0002584462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277381,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489687377166871,"score_gpt":0.2983567188607698,"score_spread":0.2534598450891011,"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."}}