{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002639587,0.0009091881,0.0007379115,0.001577931,0.002088314,0.001799168,0.002249577,0.0008333347,0.005864204],"category_scores_gemma":[0.003334868,0.000537851,0.00159274,0.00424109,0.0004421388,0.0005511412,0.001798649,0.0008272731,0.00106993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01173917,"about_ca_system_score_gemma":0.0301448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9599568,"about_ca_topic_score_gemma":0.9720603,"domain_scores_codex":[0.9983721,0.0002090755,0.00006061753,0.0003238834,0.0005475975,0.0004867314],"domain_scores_gemma":[0.9977552,0.0001020873,0.0002704266,0.0002711018,0.001226692,0.0003744764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005652522,0.0001681898,0.9616435,0.0002703449,0.0004697287,0.0001592571,0.0004013452,0.0005294522,0.0003844285,0.0002918312,0.01900534,0.01611135],"study_design_scores_gemma":[0.00006015669,0.00008370198,0.9920539,0.00003884697,0.00009847926,0.00005000085,0.0002360368,0.0002862977,0.0001212104,0.00005396131,0.006905733,0.00001177084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7252924,0.002823252,0.003371601,0.0008695075,0.00008279923,0.002012461,0.2581529,0.0005735464,0.006821436],"genre_scores_gemma":[0.8799635,0.0006497505,0.003454243,0.0006558546,0.0000352397,0.001724447,0.1013259,0.0001118526,0.01207923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9599568,"threshold_uncertainty_score":0.08517408,"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."}}