{"id":"W2947269482","doi":"10.5194/acp-2019-442","title":"Estimation of NO <sub> <i>x</i> </sub> and SO <sub>2</sub> Emissions from Sarnia, Ontario using Mobile-MAX-DOAS and a NO <sub> <i>x</i> </sub> -Analyzer","year":2019,"lang":"en","type":"article","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; York University","keywords":"NOx; Environmental science; Atmospheric sciences; Pollutant; Nitrogen oxides; Meteorology; Chemistry; Combustion; Geology; Physics; Waste management","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":[0.00008853048,0.0003187225,0.0001103758,0.000291297,0.0005019134,0.0003443884,0.0002661823,0.00014184,0.001017729],"category_scores_gemma":[0.0001083177,0.0001838303,0.0001734905,0.000215573,0.0001383989,0.000171291,0.0001968792,0.0001422789,0.0002996203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120364,"about_ca_system_score_gemma":0.001577928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4825987,"about_ca_topic_score_gemma":0.7570981,"domain_scores_codex":[0.9998984,0.000003507488,0.000003535544,0.0000273502,0.0000562893,0.0000108101],"domain_scores_gemma":[0.9999318,0.000003637162,0.00001334984,0.000002642236,0.00004069136,0.000007862244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002894877,0.0001069226,0.7011527,0.0001671297,0.00008663002,0.0003085357,0.0004750715,0.006005776,0.2473069,0.0002201698,0.00166726,0.0422134],"study_design_scores_gemma":[0.00002642189,0.0001296558,0.9363215,0.00001578379,0.00004554479,0.00006947778,0.000440159,0.01946542,0.03881089,0.00004192103,0.004614303,0.00001894585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897712,0.00006686009,0.001637113,0.00003828877,0.000005836,0.00005423348,0.001145472,0.00007026068,0.007210877],"genre_scores_gemma":[0.9903244,0.0001486097,0.003602991,0.00002173168,0.000003186186,0.00002078082,0.001276163,0.00001087808,0.004591318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5174013,"threshold_uncertainty_score":0.9595793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717084847953733,"score_gpt":0.1951925207723251,"score_spread":0.1874754359243714,"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."}}