{"id":"W3019110439","doi":"10.2196/15403","title":"Associations of Electronic Device Use Before and After Sleep With Psychological Distress Among Chinese Adults in Hong Kong: Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Medicine; Cross-sectional study; Poisson regression; Bayesian multivariate linear regression; Distress; Confidence interval; Internal medicine; Psychiatry; Clinical psychology; Linear regression; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003039724,0.0001171063,0.0002101506,0.00005280183,0.0002911532,0.00005121539,0.0001539162,0.0001110878,0.0000208556],"category_scores_gemma":[0.00006514694,0.00009574583,0.00002798114,0.0004218823,0.0002807527,0.0002874335,0.00005584168,0.0003311957,0.000002355669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396717,"about_ca_system_score_gemma":0.00005856776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852854,"about_ca_topic_score_gemma":0.1070578,"domain_scores_codex":[0.9984549,0.000173972,0.000291929,0.0002919006,0.0003730599,0.0004142242],"domain_scores_gemma":[0.9994936,0.00002649827,0.0001862646,0.00009284673,0.0000351867,0.0001655887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002658728,0.0007369901,0.9889212,0.00001578689,0.00001191511,0.000003604772,0.009499386,9.79836e-7,0.000001212631,0.00003063906,0.00001648872,0.0004958807],"study_design_scores_gemma":[0.001438892,0.0009453183,0.9953271,0.00002799154,0.00000173359,9.614112e-7,0.002121227,0.0000256679,7.681459e-7,0.00002703639,0.00000532824,0.00007798942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969635,0.00002431231,0.000001755719,0.001683997,0.00004479825,0.001093611,0.00009686408,0.00006032199,0.00003084743],"genre_scores_gemma":[0.9994121,0.000008022741,0.00002960023,0.0004084784,0.00003684973,0.00004705301,0.00002385516,0.000009215048,0.00002479207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032049,"threshold_uncertainty_score":0.9092361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192292465950803,"score_gpt":0.3858911968017233,"score_spread":0.366661950206643,"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."}}