{"id":"W2047127734","doi":"10.1080/15287390590936157","title":"Measuring Progress in the Management of Ambient Air Quality: The Case for Population Health","year":2005,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Air Canada; Privy Council Office; Health Canada","funders":"","keywords":"Pollutant; Air pollution; Environmental science; Pollution; Environmental health; Population; Nitrogen dioxide; Air pollutants; Population health; Air quality index; Measure (data warehouse); Environmental protection; Meteorology; Geography; Medicine; Computer science; 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":[0.1146412,0.001399462,0.002069764,0.006234602,0.003387318,0.00891004,0.004029886,0.006087819,0.001189371],"category_scores_gemma":[0.1756815,0.0005381515,0.001191906,0.008521743,0.01776681,0.0239055,0.007902434,0.009923864,0.000282547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01629828,"about_ca_system_score_gemma":0.0230658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2108648,"about_ca_topic_score_gemma":0.1670476,"domain_scores_codex":[0.9322464,0.03978734,0.004088738,0.004946332,0.01563805,0.003293154],"domain_scores_gemma":[0.888355,0.05871756,0.01480458,0.01202859,0.02131991,0.004774446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000248595,0.0003056654,0.3306778,0.002357994,0.001073515,0.0003992358,0.01830784,0.01165207,0.0004018525,0.1872591,0.03721564,0.4101007],"study_design_scores_gemma":[0.0001128435,0.0008952338,0.3546098,0.005347866,0.0004895219,0.0007861292,0.03445083,0.01657132,0.001274957,0.4456683,0.1391913,0.0006019029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1031083,0.08221208,0.06393897,0.6768985,0.00357678,0.0005669952,0.002753676,0.0004301403,0.06651454],"genre_scores_gemma":[0.9065845,0.02683395,0.04478865,0.01628076,0.002329363,0.0005194426,0.0004699094,0.00008007234,0.002113283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2108648,"threshold_uncertainty_score":0.6062877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08208692632039014,"score_gpt":0.3706168758917976,"score_spread":0.2885299495714075,"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."}}