{"id":"W4409973591","doi":"10.21203/rs.3.rs-6043160/v1","title":"Effects of extreme air pollution and El Niño Southern Oscillation on insufficient sleep: A cross-sectional study","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration","keywords":"Cross-sectional study; Sleep (system call); Environmental science; Air pollution; Environmental health; Geography; Climatology; Medicine; Geology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263695,0.0005333265,0.0004714518,0.0006604097,0.0007345313,0.0009265177,0.000616986,0.001265617,0.002512735],"category_scores_gemma":[0.002487879,0.001096432,0.0009656616,0.00110808,0.0005179491,0.001003983,0.0007297652,0.001189092,0.0006725579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847065,"about_ca_system_score_gemma":0.0005537788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878918,"about_ca_topic_score_gemma":0.01924759,"domain_scores_codex":[0.9993637,0.0002359879,0.00005521184,0.0001731163,0.00005897566,0.0001130655],"domain_scores_gemma":[0.9973687,0.0006993817,0.00070375,0.0002794051,0.0002539593,0.0006948293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002172644,0.0001981512,0.9987996,0.000006664968,0.0001783069,0.00004586717,0.0001115013,0.00002440395,0.0001042099,0.000009442217,0.00006572236,0.0002389111],"study_design_scores_gemma":[0.000005834517,0.0001490991,0.9993572,0.000003031111,0.00004107463,0.00003784362,0.0002610134,0.00004662224,0.00001336798,0.000008250814,0.00007332749,0.000003338867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987363,0.0001911367,0.0000617548,0.00004102817,0.00001577432,0.00001253711,0.0005672594,0.000003236753,0.0003711029],"genre_scores_gemma":[0.998246,0.0001901541,0.0000851511,0.00006014783,0.0000222256,0.00002587336,0.0008264264,0.000003923732,0.0005400836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878918,"threshold_uncertainty_score":0.0373596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121038219831173,"score_gpt":0.4313418709006851,"score_spread":0.3103036510695121,"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."}}