{"id":"W7073871111","doi":"","title":"Bidirectional associations of sleep and discretionary screen time in adults: Longitudinal analysis of the UK biobank","year":2022,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; University of Sydney; National Health and Medical Research Council; CHEO Research Institute","keywords":"Sleep (system call); Logistic regression; Odds; Morning; Actigraphy; Biobank; Odds ratio; Longitudinal study; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003221291,0.0003177089,0.000614373,0.001241602,0.0007238484,0.001172812,0.0007018606,0.0007404078,0.00159472],"category_scores_gemma":[0.01108641,0.0006022362,0.0008623235,0.002952995,0.0004483122,0.0010034,0.001898988,0.001053163,0.0003249345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008462641,"about_ca_system_score_gemma":0.0006963823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08479645,"about_ca_topic_score_gemma":0.08496203,"domain_scores_codex":[0.9972746,0.001026463,0.0004581022,0.0006113481,0.000340356,0.0002891381],"domain_scores_gemma":[0.9913453,0.001111728,0.00411053,0.001514029,0.001323301,0.0005950595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112274,0.00001475138,0.9979519,0.00001915079,0.0001171774,0.00005189431,0.000389372,0.00002279361,0.0001321125,0.0000264614,0.0002612446,0.0009008755],"study_design_scores_gemma":[0.000004635052,0.00002449297,0.9994567,0.00001960658,0.00002909666,0.00004735532,0.0001275218,0.00007456656,0.00001666701,0.00001135166,0.0001832471,0.000004748387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996751,0.0007815048,0.0002489218,0.0001393918,0.00001645239,0.00001884999,0.001758702,0.000005848371,0.0002794665],"genre_scores_gemma":[0.9974288,0.0003331211,0.0003345532,0.0001031643,0.00001100774,0.0000549852,0.001448466,0.000006005456,0.0002798147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08479645,"threshold_uncertainty_score":0.1686058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461684977113124,"score_gpt":0.1734318102143466,"score_spread":0.1588149604432154,"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."}}