{"id":"W2070393244","doi":"10.1038/jes.2012.85","title":"The impact of traffic volume, composition, and road geometry on personal air pollution exposures among cyclists in Montreal, Canada","year":2012,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; McGill University","funders":"","keywords":"Cycling; Air pollution; Environmental science; Evening; Morning; Air pollutants; Pollution; Environmental health; Environmental engineering; Medicine; Geography; Forestry; 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":[],"consensus_categories":[],"category_scores_codex":[0.005964211,0.0001911211,0.0004489844,0.0001193209,0.000424534,0.000008558782,0.0003563867,0.0001060753,0.0001585155],"category_scores_gemma":[0.0005582414,0.0001243489,0.0001112833,0.0002599931,0.002303046,0.0006303666,0.0001067801,0.0004010892,0.000006710442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523493,"about_ca_system_score_gemma":0.0001376596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08254174,"about_ca_topic_score_gemma":0.02939109,"domain_scores_codex":[0.9968555,0.0006093199,0.0009842583,0.0002275735,0.0005499281,0.0007734469],"domain_scores_gemma":[0.9979116,0.0004851665,0.0008759926,0.0001801226,0.000007037609,0.0005400625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001265976,0.0001837872,0.9519815,0.000003308303,0.000009505536,0.000004137099,0.0007259928,0.03464166,0.001776481,0.000009595701,0.00222228,0.008315139],"study_design_scores_gemma":[0.0003670322,0.0006985032,0.9967414,0.00002216617,0.000008072296,0.0001223222,0.0005713195,0.001061246,0.0000870911,0.00004884869,0.0001567122,0.000115263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996896,0.000862673,0.0000176474,0.001745034,0.0002100057,0.0001401762,0.00001970724,0.000002363708,0.000106351],"genre_scores_gemma":[0.9985784,0.0002631559,0.0001168269,0.0009266006,0.00008087392,0.000001970606,0.000002031728,0.000007073983,0.00002302494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05315065,"threshold_uncertainty_score":0.98832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993259793885539,"score_gpt":0.2977846810715289,"score_spread":0.2778520831326736,"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."}}