{"id":"W4223545465","doi":"10.1016/j.scitotenv.2022.155230","title":"Adoption of low-carbon fuels reduces race/ethnicity disparities in air pollution exposure in California","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Environmental science; Weather Research and Forecasting Model; Greenhouse gas; Air pollution; Environmental justice; Downscaling; Atmospheric sciences; Climatology; San Joaquin; Meteorology; Geography; Oceanography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140557,0.000132695,0.0001672909,0.0002483601,0.0004066995,0.0004922868,0.000340669,0.0001869712,0.001037015],"category_scores_gemma":[0.0009980111,0.0001038835,0.0003468028,0.0003463444,0.0001662019,0.0001759132,0.0003242633,0.0003071129,0.00005947083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039263,"about_ca_system_score_gemma":0.001040066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3184941,"about_ca_topic_score_gemma":0.3631918,"domain_scores_codex":[0.9997987,0.00004244211,0.000008996651,0.0000638511,0.00003929538,0.00004670925],"domain_scores_gemma":[0.9996263,0.00007104463,0.0001073231,0.00003781502,0.00007473513,0.00008279931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000552578,0.0007177695,0.9603688,0.00004716857,0.000243166,0.0001343977,0.0004383417,0.01288988,0.001415604,0.0005405555,0.003260344,0.01939136],"study_design_scores_gemma":[0.00003163438,0.0001450549,0.9910596,0.00001328064,0.0001306141,0.00001758081,0.0004162623,0.006649982,0.0003379525,0.0001515116,0.001036583,0.000009945375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990701,0.00004722662,0.00003673743,0.00006419856,0.000002850556,0.000003196782,0.0001297689,0.000005583104,0.0006403469],"genre_scores_gemma":[0.9995128,0.00004734556,0.00006839107,0.00002502767,0.000002276496,0.000003135294,0.0001677224,0.000001720062,0.0001715625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3184941,"threshold_uncertainty_score":0.6332806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916969038938181,"score_gpt":0.2472770091396413,"score_spread":0.2281073187502594,"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."}}