{"id":"W3006571045","doi":"","title":"Mortality-Air Pollution Associations in Low Exposure Environments (MAPLE): Phase 2.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University; University of New Brunswick; McGill University; Statistics Canada; University of British Columbia","funders":"","keywords":"Particulates; Air pollution; Nitrogen dioxide; Ozone; Pollutant; Aerodynamic diameter; Environmental science; Population; Environmental health; Air pollutants; Pollution; Toxicology; Demography; Medicine; Meteorology; Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001134053,0.0001937384,0.0002139118,0.0000748175,0.0001048265,0.00001973249,0.0002172349,0.0001279686,0.00103421],"category_scores_gemma":[0.0001213134,0.0002131016,0.00006676057,0.0002731816,0.00009696465,0.0005040845,0.0001619493,0.0002761144,0.001904442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331046,"about_ca_system_score_gemma":0.00001027234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223764,"about_ca_topic_score_gemma":0.0002608066,"domain_scores_codex":[0.9974077,0.0002245796,0.0003917233,0.0006342921,0.0005801607,0.0007615973],"domain_scores_gemma":[0.9990957,0.00006051834,0.0001742699,0.000441983,0.000001492174,0.0002260863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000118919,0.0006165314,0.9480262,0.000009148976,0.00001949028,0.00001074572,0.0003295404,0.002133833,0.00105287,0.00002514304,0.0002070422,0.0475576],"study_design_scores_gemma":[0.00158775,0.00002798215,0.9897736,0.000006636297,0.00001251113,0.000001080151,0.00007423236,0.0002050978,0.0007554094,0.0001706172,0.00716113,0.0002239806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859337,0.00002484545,0.0002326399,0.00070396,0.0001755812,0.001703055,0.00006467706,0.00003705264,0.01112452],"genre_scores_gemma":[0.9957221,0.00003782728,0.00006696359,0.001510782,0.00004256714,0.0008019188,0.0000582999,0.00002661684,0.00173297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04733362,"threshold_uncertainty_score":0.999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913171926987219,"score_gpt":0.2527984191156935,"score_spread":0.2336666998458213,"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."}}