{"id":"W4310779934","doi":"10.1021/acs.est.2c02788","title":"Aerosol Oxidative Potential in the Greater Los Angeles Area: Source Apportionment and Associations with Socioeconomic Position","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; California Air Resources Board","keywords":"Apportionment; Environmental science; Socioeconomic status; Air pollution; Environmental health; Particulates; Aerosol; Environmental engineering; Environmental chemistry; Atmospheric sciences; Geography; Population; Chemistry; Meteorology; Medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000220014,0.0002243633,0.0001640063,0.0007127087,0.0002725922,0.0004918245,0.0002550054,0.0002548849,0.001419792],"category_scores_gemma":[0.0008664597,0.0001444512,0.0002837143,0.0007362833,0.0001262632,0.0002388414,0.0003627737,0.0002785407,0.0001570318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004509487,"about_ca_system_score_gemma":0.0004343224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0840794,"about_ca_topic_score_gemma":0.1011572,"domain_scores_codex":[0.9998395,0.00003791699,0.00001701185,0.00003909044,0.00003716925,0.00002919335],"domain_scores_gemma":[0.9993766,0.00007593782,0.0002447511,0.0000385936,0.0001572943,0.0001069474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000607515,0.00001852749,0.9984034,0.00000583785,0.00003903559,0.0000262084,0.0000401926,0.00004653068,0.0001314113,0.00001111144,0.0001146038,0.001102319],"study_design_scores_gemma":[0.000001532075,0.00002476863,0.9995165,0.000002909103,0.00001542692,0.00003068537,0.00009341293,0.0001562529,0.00004167379,0.000009888758,0.0001052599,0.000001739929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984528,0.0002038378,0.0000615039,0.00006126453,0.000003556039,0.000004727981,0.0008096676,0.000005568464,0.0003970796],"genre_scores_gemma":[0.9990085,0.0001164108,0.00006556619,0.00001105402,0.000008601398,0.000005446377,0.000422696,0.000001848275,0.0003599019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0840794,"threshold_uncertainty_score":0.16718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088061808420709,"score_gpt":0.2309136137724593,"score_spread":0.2200329956882522,"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."}}