{"id":"W2755590865","doi":"10.3390/environments4030066","title":"Air Quality Impacts of Petroleum Refining and Petrochemical Industries","year":2017,"lang":"en","type":"article","venue":"Environments","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oil refinery; Petrochemical; Air quality index; Pollutant; Environmental science; Refining (metallurgy); Industrialisation; Waste management; Natural resource economics; Quality (philosophy); Greenhouse gas; Air pollution; Particulates; Environmental engineering; Environmental protection; Business; Environmental planning; Engineering; Geography; Chemistry","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":[0.0004050597,0.0002588113,0.0001908812,0.001857114,0.0003317869,0.0009371249,0.0001710562,0.0003566019,0.001456255],"category_scores_gemma":[0.000602763,0.00009381717,0.0003545026,0.002513553,0.000265655,0.0004870614,0.0005964155,0.0002328024,0.0001654774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556878,"about_ca_system_score_gemma":0.0007572244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653781,"about_ca_topic_score_gemma":0.03385382,"domain_scores_codex":[0.9992881,0.0001662619,0.00005891938,0.00008966276,0.0003252539,0.0000717619],"domain_scores_gemma":[0.9993679,0.0002300272,0.0001975117,0.00001017799,0.0001718083,0.00002259949],"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":[0.0002553698,0.0003215518,0.3352246,0.0193648,0.0007170406,0.001817518,0.003689621,0.002104497,0.01808322,0.004239216,0.005807625,0.6083749],"study_design_scores_gemma":[0.00000671728,0.0005742426,0.7574143,0.004787548,0.0007176506,0.002250991,0.01012755,0.0004873429,0.01292414,0.001905543,0.2087493,0.0000545014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3215735,0.6326103,0.0009192796,0.002861656,0.0001856051,0.0000545318,0.001123978,0.00001962035,0.04065143],"genre_scores_gemma":[0.5954014,0.4010714,0.0005947103,0.0004302303,0.0001229635,0.00001332151,0.0002988014,0.000004984711,0.002062151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01653781,"threshold_uncertainty_score":0.03288311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05547052888226706,"score_gpt":0.3343834911674106,"score_spread":0.2789129622851435,"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."}}