{"id":"W2059495660","doi":"10.1080/10473289.2002.10470821","title":"Regional Transport and Urban Contributions to Fine Particle Concentrations in Southeastern Canada","year":2002,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Ministry of Environment; Desert Research Institute","keywords":"Environmental science; Carbon black; Total organic carbon; Particle (ecology); Trace element; Mass concentration (chemistry); Atmospheric sciences; Carbon fibers; Environmental chemistry; Meteorology; Geography; Chemistry; Geology; Materials science; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001496593,0.0002141155,0.0001926903,0.0005981883,0.001025479,0.0006027878,0.0002454432,0.0001163099,0.0008533836],"category_scores_gemma":[0.0003961197,0.0001581588,0.0001842562,0.001153684,0.00028543,0.0001202925,0.0003262634,0.0001568632,0.00007710698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009279925,"about_ca_system_score_gemma":0.007891905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886889,"about_ca_topic_score_gemma":0.9952924,"domain_scores_codex":[0.9998417,0.00001050201,0.000006227236,0.00003147731,0.00005171131,0.00005843225],"domain_scores_gemma":[0.9996235,0.00002774147,0.00005081376,0.000009123961,0.0002329657,0.00005580406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000138824,0.00001509222,0.982308,0.00002684658,0.00004123586,0.0002263996,0.0007255563,0.001034228,0.003364968,0.0001401843,0.0006387845,0.01133988],"study_design_scores_gemma":[0.000002881034,0.000008679243,0.9973354,0.000006287328,0.00002183964,0.00003694975,0.0005238674,0.001025886,0.0004219664,0.00001708245,0.0005947783,0.000004418434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984007,0.0001397921,0.00009451855,0.00004740921,0.000001563247,0.000005044993,0.0006431062,0.000009000519,0.0006587119],"genre_scores_gemma":[0.998113,0.0002122659,0.0002105142,0.00001271428,0.00000153103,0.000003460818,0.000692466,0.00000477341,0.0007492435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131111,"threshold_uncertainty_score":0.06733084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007454210282227581,"score_gpt":0.1811603239062282,"score_spread":0.1737061136240006,"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."}}