{"id":"W4410174194","doi":"10.1186/s12889-025-22617-3","title":"Sleep duration and quality trajectories during the early days of the COVID-19 pandemic: a Canadian nationally representative study","year":2025,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Sleep and related disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"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; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Multinomial logistic regression; Biostatistics; Medicine; Sleep (system call); Pandemic; Demography; Logistic regression; Duration (music); Public health; Gerontology; Coronavirus disease 2019 (COVID-19); Disease; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001344434,0.0005535883,0.0005820814,0.001850395,0.004370485,0.001429061,0.001885035,0.0007835985,0.001473386],"category_scores_gemma":[0.002469299,0.0005301317,0.0009487745,0.005945264,0.0006986095,0.0006074801,0.001373966,0.000986314,0.0003553719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01968942,"about_ca_system_score_gemma":0.02839294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943379,"about_ca_topic_score_gemma":0.9960722,"domain_scores_codex":[0.9988018,0.00006844594,0.00009303394,0.0002730933,0.0004525945,0.000311023],"domain_scores_gemma":[0.9974501,0.000100611,0.00033477,0.0001425824,0.001541551,0.0004303765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005219252,0.00004753466,0.9927165,0.00007349082,0.00007950581,0.0000491749,0.001053009,0.00008623733,0.0001449654,0.00008986457,0.002014554,0.003593042],"study_design_scores_gemma":[0.000006640547,0.00002094112,0.9973175,0.00003818526,0.00002741786,0.00004056767,0.001330775,0.0002147643,0.00003010596,0.00001325292,0.000946056,0.00001380903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774961,0.0006958461,0.0003616392,0.0003477626,0.00001826839,0.0002522103,0.01862476,0.00002028888,0.002183174],"genre_scores_gemma":[0.9838294,0.0009423725,0.001206739,0.0003567095,0.00001219619,0.0001842679,0.01243263,0.00001400697,0.001021677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968942,"threshold_uncertainty_score":0.1428574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08449119540102801,"score_gpt":0.4043775168579776,"score_spread":0.3198863214569496,"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."}}