{"id":"W3092140656","doi":"10.3390/atmos11101066","title":"A Preliminary Spatial Analysis of the Association of Asthma and Traffic-Related Air Pollution in the Metropolitan Area of Calgary, Canada","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"O'Brien Institute for Public Health, University of Calgary; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Air pollution; Metropolitan area; Socioeconomic status; Geography; Asthma; Pollutant; Confounding; Environmental health; Spatial analysis; Environmental science; Medicine; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008487477,0.0004176638,0.0004528622,0.003016315,0.001745036,0.001268208,0.0008800983,0.0002123058,0.002366365],"category_scores_gemma":[0.0028568,0.0002445796,0.001133349,0.00644408,0.0004944291,0.0002679346,0.001148897,0.0004351796,0.0002003076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01134581,"about_ca_system_score_gemma":0.02640656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927509,"about_ca_topic_score_gemma":0.9933987,"domain_scores_codex":[0.9990296,0.0001108965,0.00007278498,0.0001332257,0.0003461102,0.0003074171],"domain_scores_gemma":[0.9970409,0.0003288586,0.0002145656,0.0001412791,0.002005679,0.0002686396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001174262,0.0000322931,0.9861479,0.00004945995,0.0001788386,0.0001666663,0.0003879001,0.002388457,0.0005535987,0.0003724488,0.001398296,0.008206666],"study_design_scores_gemma":[0.000004077877,0.00002295302,0.9961195,0.00001131288,0.00004131689,0.00003513287,0.001017047,0.001637745,0.00007332543,0.00003060952,0.0009993655,0.000007598668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790318,0.0006447642,0.0009812372,0.0003176394,0.00001497361,0.0001196218,0.01527432,0.00003889289,0.003576846],"genre_scores_gemma":[0.9874722,0.000482146,0.002209902,0.0000509159,0.0000100435,0.00006881895,0.007332844,0.0000130319,0.002360133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134581,"threshold_uncertainty_score":0.08231997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088489214019342,"score_gpt":0.2258841637052835,"score_spread":0.2149992715650901,"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."}}