{"id":"W1619716309","doi":"10.1016/j.envpol.2015.09.005","title":"Individual and population intake fractions of diesel particulate matter (DPM) in bus stop microenvironments","year":2015,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Particulates; Diesel fuel; Diesel exhaust; Environmental science; Population; Environmental engineering; Fraction (chemistry); Diesel engine; Environmental health; Waste management; Chemistry; Automotive engineering; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003748654,0.0001470082,0.0001689307,0.00005950431,0.00009271916,0.00001170813,0.00008014866,0.0001032034,0.0007362396],"category_scores_gemma":[0.00001729407,0.0001512419,0.00002770433,0.00009510479,0.0002471746,0.0004538602,0.0001697927,0.0001511461,0.0004811436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005073174,"about_ca_system_score_gemma":0.000005137899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331722,"about_ca_topic_score_gemma":0.0001419996,"domain_scores_codex":[0.9985617,0.0001276631,0.0003755195,0.0002697585,0.000364746,0.0003006113],"domain_scores_gemma":[0.9994404,0.00001640691,0.0001596863,0.0001750825,5.487126e-7,0.0002078955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000470739,0.0002415343,0.9888089,0.000008070661,0.000007251293,0.000001923103,0.001384775,0.001683018,0.002813166,0.00001588809,0.0008125474,0.004175858],"study_design_scores_gemma":[0.0006978338,0.00009849185,0.9953346,0.00001281242,0.00001617105,0.000009570992,0.0006863297,0.0003545783,0.0006626816,0.0006178093,0.001364885,0.0001442361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977663,0.00007634421,0.0001215936,0.001172677,0.00006905273,0.0002723675,0.00004718389,0.00001073537,0.0004637276],"genre_scores_gemma":[0.9981548,0.00004461797,0.0006371671,0.0008796811,0.00002145118,0.00001345177,0.00006401782,0.0000134191,0.0001713873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006525705,"threshold_uncertainty_score":0.8061307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722282511733965,"score_gpt":0.2777039976598757,"score_spread":0.240481172542536,"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."}}