{"id":"W4410502990","doi":"10.1093/sleep/zsaf090.0383","title":"0383 Associations Between Digital Technology and Sleep Health by Country, Age, and Sex","year":2025,"lang":"en","type":"article","venue":"SLEEP","topic":"Medical and Agricultural Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Sleep (system call); Medicine; Psychology; Gerontology; Demography; Sociology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002745902,0.00005921592,0.0001602798,0.0000516542,0.0007202743,0.00009881558,0.00009407356,0.00007809127,0.000009963273],"category_scores_gemma":[0.0007328073,0.00004081538,0.00001258367,0.0004372671,0.000419681,0.00008620224,0.0001185088,0.0001405175,0.000003958619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006850747,"about_ca_system_score_gemma":0.0000443965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000920006,"about_ca_topic_score_gemma":0.0008048926,"domain_scores_codex":[0.9991601,0.00004299411,0.0001140496,0.0001506642,0.0002453368,0.0002868177],"domain_scores_gemma":[0.999574,0.0001952223,0.00003309252,0.00003924552,0.00003640272,0.0001220181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001409188,0.00005041983,0.2521203,0.00002568081,0.0001246343,0.00000443564,0.002308407,4.680572e-8,0.00001765148,0.03873754,0.1061231,0.6004863],"study_design_scores_gemma":[0.0003121048,0.00007262956,0.1341844,0.00003222383,0.00001733843,1.522692e-7,0.003806998,0.000005699207,0.0000106656,0.01938984,0.8420388,0.000129225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525632,0.01157507,0.0002153223,0.3564671,0.0002263278,0.0007740483,0.0006339578,0.0002792562,0.07726572],"genre_scores_gemma":[0.9908742,0.001108142,0.00001899558,0.0003517497,0.00008474094,0.00001005303,0.00004250827,0.00000158318,0.00750805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359157,"threshold_uncertainty_score":0.553984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669430258864465,"score_gpt":0.3396209564242141,"score_spread":0.3229266538355695,"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."}}