{"id":"W4391379138","doi":"10.1039/d3va00307h","title":"Transboundary transport of air pollution in eastern Canada","year":2024,"lang":"en","type":"article","venue":"Environmental Science Advances","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Université de Montréal","keywords":"Pollution; Air pollution; Environmental science; Environmental protection; Environmental planning; Geography; Chemistry; Ecology","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":[0.0003090544,0.0004561221,0.0002538554,0.001066162,0.001518159,0.00152947,0.0006560402,0.0005145386,0.002157595],"category_scores_gemma":[0.0007051945,0.0001806727,0.0006260521,0.002029955,0.0003822074,0.0005138551,0.0006229553,0.0004115942,0.0001685513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03183971,"about_ca_system_score_gemma":0.02156188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978644,"about_ca_topic_score_gemma":0.9973965,"domain_scores_codex":[0.9997775,0.00003785127,0.000007310938,0.00004209932,0.00005479022,0.00008051084],"domain_scores_gemma":[0.9996163,0.00005171711,0.00004428939,0.00001348474,0.0002199939,0.0000541427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002602966,0.0001530612,0.520107,0.0001547512,0.000602994,0.001082026,0.00115499,0.4018019,0.004226838,0.01919879,0.007333417,0.04392403],"study_design_scores_gemma":[0.00006115019,0.00003831487,0.3694554,0.0001154028,0.0002109063,0.00009293254,0.00223028,0.6081034,0.001870242,0.002792425,0.01492729,0.0001022587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840087,0.00102657,0.003199679,0.001048381,0.00002380706,0.00002756417,0.002706324,0.00009359703,0.007865389],"genre_scores_gemma":[0.9946473,0.000305925,0.001106415,0.00003632802,0.000002604771,0.000007829334,0.0005596881,0.00001256845,0.003321125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03183971,"threshold_uncertainty_score":0.2310143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00374534634179798,"score_gpt":0.2103730415735682,"score_spread":0.2066276952317702,"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."}}