{"id":"W601678674","doi":"10.1068/b130140p","title":"Smog and socioeconomics: an evaluation of equity in traffic-related air pollution generation and exposure","year":2015,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Disadvantage; Environmental justice; Equity (law); Metropolitan area; Disadvantaged; Air pollution; Polluter pays principle; Social equality; Pollution; Geography; Natural resource economics; Economic growth; Economics; Political science; Law; 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":[0.002875719,0.00009130049,0.0001403246,0.00005872618,0.0002627289,0.00003629073,0.00003237589,0.0001242121,0.000007912849],"category_scores_gemma":[0.00003166036,0.00009176027,0.000008110513,0.00002995652,0.0001902344,0.000327605,0.00001798821,0.00008456979,2.197612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004861676,"about_ca_system_score_gemma":0.00005733061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164701,"about_ca_topic_score_gemma":0.00003170061,"domain_scores_codex":[0.9989887,0.0002630634,0.0001966716,0.0002343684,0.0001828307,0.0001343868],"domain_scores_gemma":[0.999688,0.00005101276,0.00008917782,0.0000538928,0.00001041957,0.0001075294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007995612,0.00004278946,0.868683,0.00001224011,0.00001379597,0.000002499724,0.07024632,0.04658403,0.000379794,0.00009261727,0.00006775323,0.01379524],"study_design_scores_gemma":[0.00146889,0.0002308469,0.9312694,0.00005139741,0.00007106519,0.000001252472,0.008020494,0.05689926,0.0001154357,0.001505917,0.0001507137,0.0002153162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943884,0.004439935,0.0005848626,0.0001005063,0.00004709837,0.0002108741,0.000004496452,0.00001452919,0.0002092784],"genre_scores_gemma":[0.9992293,0.00008426695,0.000548001,0.00002345404,0.00005397084,0.000005830773,0.00002927016,0.000004443473,0.00002150622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06258645,"threshold_uncertainty_score":0.3741875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586399557593615,"score_gpt":0.3461379373892007,"score_spread":0.1874979816298392,"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."}}