{"id":"W4404438878","doi":"10.1038/s41370-024-00731-5","title":"Assessment of long-term exposure to traffic-related air pollution: An exposure framework","year":2024,"lang":"en","type":"review","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Public Health Ontario; University of Toronto","funders":"","keywords":"Term (time); Environmental science; Air pollution; Exposure assessment; Pollution; Environmental health; Environmental planning; Medicine; Biology; Ecology","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01414046,0.001014131,0.004161777,0.0007211157,0.0004860535,0.00004701868,0.002664199,0.001269907,0.00192384],"category_scores_gemma":[0.001176776,0.0007516121,0.001178739,0.001509538,0.003002961,0.001051597,0.0009015871,0.002776104,0.0004007421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002683838,"about_ca_system_score_gemma":0.0008039674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760705,"about_ca_topic_score_gemma":0.00001486184,"domain_scores_codex":[0.9878331,0.002308661,0.00520856,0.001431608,0.001649124,0.001568983],"domain_scores_gemma":[0.9922085,0.0008678205,0.003733267,0.001304454,0.00002691197,0.00185908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006261255,0.001244315,0.01794789,0.002569353,0.0002722126,0.0003172912,0.00161889,0.01847903,0.000142465,0.0008632086,0.001728073,0.9547547],"study_design_scores_gemma":[0.001323846,0.0252897,0.5988004,0.01956185,0.003166588,0.006004109,0.0008490827,0.0001445926,0.00002147507,0.002368824,0.3393605,0.003109038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07298394,0.9189109,0.00123739,0.001990295,0.002963577,0.001399174,0.0001638285,0.00005657445,0.0002942882],"genre_scores_gemma":[0.215911,0.7692851,0.01150411,0.002466465,0.0004959184,0.0000295812,0.00003611142,0.0001014235,0.0001702845],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9516456,"threshold_uncertainty_score":0.9997103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08352148493041114,"score_gpt":0.4294537528156898,"score_spread":0.3459322678852786,"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."}}