{"id":"W4308029173","doi":"10.1038/s41467-022-33372-z","title":"Unequal airborne exposure to toxic metals associated with race, ethnicity, and segregation in the USA","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; National Institute on Minority Health and Health Disparities; National Institute of Environmental Health Sciences; Health Effects Institute; U.S. Department of Health and Human Services; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Particulates; Race (biology); Vanadium; Pollution; Air pollution; Ethnic group; Environmental science; Environmental chemistry; Environmental health; Ecology; Chemistry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002434296,0.00009935082,0.0001374655,0.0004606535,0.0004812615,0.0003697056,0.0001554459,0.0002174024,0.001204338],"category_scores_gemma":[0.0007922651,0.00009190455,0.0001673536,0.000662478,0.0001971358,0.0001549896,0.0003905178,0.0003570556,0.0001402498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351085,"about_ca_system_score_gemma":0.0003283986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04554962,"about_ca_topic_score_gemma":0.07724465,"domain_scores_codex":[0.9997974,0.00006030006,0.00001240039,0.0000557418,0.00003690916,0.00003721894],"domain_scores_gemma":[0.9995653,0.00003913674,0.0001515041,0.00002843175,0.0001016126,0.0001140476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006189656,0.00005021067,0.9961286,0.000003730076,0.00004014652,0.00003091803,0.0002230727,0.00001952393,0.0004057298,0.00004026469,0.0006938546,0.002301983],"study_design_scores_gemma":[0.000001291859,0.00001431336,0.9993029,0.000003325537,0.00001147939,0.00003098409,0.0002412065,0.00007581789,0.00004031022,0.00002776917,0.0002487348,0.000001775114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998538,0.00009823212,0.00008748368,0.0002161757,0.000009284625,0.000004003929,0.000287988,0.000002602719,0.000756199],"genre_scores_gemma":[0.9994107,0.00005706723,0.00004674063,0.0001043106,0.000006095094,0.000002724782,0.0002087206,0.000001424281,0.0001622222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04554962,"threshold_uncertainty_score":0.09056902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127451152030155,"score_gpt":0.3488173056772656,"score_spread":0.287542794156964,"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."}}