{"id":"W4408251790","doi":"10.1016/j.jeem.2025.103149","title":"Air pollution and children’s health inequalities","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche","keywords":"Inequality; Pollution; Air pollution; Economics; Environmental health; Environmental science; Mathematics; Medicine; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00117947,0.000239392,0.0002737363,0.0007764975,0.000345669,0.0008789808,0.0002359036,0.0004010939,0.003936963],"category_scores_gemma":[0.003275729,0.0001096906,0.0004574875,0.0009737029,0.0004948489,0.0005228454,0.001059493,0.0006211562,0.000183942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198905,"about_ca_system_score_gemma":0.0008553356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06159629,"about_ca_topic_score_gemma":0.06036649,"domain_scores_codex":[0.9988216,0.0003830933,0.00004058839,0.0001546952,0.0001775432,0.0004225391],"domain_scores_gemma":[0.9973977,0.001186685,0.0008647951,0.0001588301,0.0001419895,0.0002501178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001413555,0.0001251331,0.9815422,0.00005663047,0.0002365553,0.0001476862,0.0007493444,0.001366085,0.0003198278,0.003323576,0.0004848359,0.0115068],"study_design_scores_gemma":[0.000003783737,0.0000546797,0.997246,0.00002448739,0.00003235361,0.00003434853,0.0004023913,0.0004583395,0.0001168554,0.0006516104,0.0009698746,0.000005274836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993769,0.001479854,0.0002526996,0.0006738668,0.00001268678,0.000006360735,0.001084991,0.000006683397,0.002713841],"genre_scores_gemma":[0.9990554,0.000299689,0.00007208185,0.0000369929,0.000008223363,0.000004439515,0.0002384194,0.000001267448,0.0002834869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06159629,"threshold_uncertainty_score":0.1224755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063954573096453,"score_gpt":0.2393375992341262,"score_spread":0.2286980535031617,"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."}}