{"id":"W3195301176","doi":"10.1289/isee.2021.p-643","title":"Inequities in exposure to ambient fine particulate matter in Canada","year":2021,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; McGill University","funders":"","keywords":"Census; Demography; Geography; Census tract; Environmental health; Particulates; Population; Medicine; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006647925,0.000284525,0.000357809,0.001683888,0.003222322,0.001376688,0.001014185,0.0003225555,0.002966541],"category_scores_gemma":[0.002378031,0.0001967082,0.0005601515,0.004329761,0.0008323253,0.0004838145,0.001610821,0.0007057237,0.0001543245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04281088,"about_ca_system_score_gemma":0.05801831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998367,"about_ca_topic_score_gemma":0.99873,"domain_scores_codex":[0.9987112,0.00006731554,0.00006533287,0.0002328426,0.0004091444,0.000514071],"domain_scores_gemma":[0.9981588,0.00009189909,0.0002665147,0.00005576141,0.0009708012,0.0004562563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006647067,0.00002784789,0.9701895,0.0001299423,0.0001001877,0.0001134621,0.001725864,0.0006657897,0.0001974053,0.001464896,0.005729068,0.01958968],"study_design_scores_gemma":[0.000004373963,0.000008943194,0.9942952,0.00009030016,0.00002876925,0.00003925639,0.001318815,0.0005611205,0.00006767065,0.0002494123,0.003318273,0.00001795007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547132,0.004290317,0.0007645491,0.004245496,0.00007842201,0.0000862235,0.01799079,0.00005947574,0.01777149],"genre_scores_gemma":[0.9949646,0.0009928625,0.0002821673,0.0002573651,0.000007003096,0.00001681092,0.00215866,0.000008233953,0.001312317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04281088,"threshold_uncertainty_score":0.3106162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201577792509924,"score_gpt":0.2836885223631778,"score_spread":0.2516727444380786,"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."}}