{"id":"W2003949149","doi":"10.1016/j.atmosenv.2004.12.004","title":"Elemental composition of PM and PM in urban environment in South Brazil","year":2005,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Guelph","keywords":"Particulates; Environmental science; Environmental chemistry; Air quality index; Sampling (signal processing); Chemical composition; Environmental engineering; Chemistry; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033822,0.0001600625,0.0001945879,0.0006688696,0.0004856217,0.0004556275,0.0002429964,0.0001754718,0.0005880775],"category_scores_gemma":[0.0002459895,0.0001631293,0.00017728,0.000660394,0.0002374582,0.0001898986,0.0003562586,0.00008606883,0.00009145213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006518501,"about_ca_system_score_gemma":0.0003437526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06202749,"about_ca_topic_score_gemma":0.1132208,"domain_scores_codex":[0.999909,0.00001256822,0.000006638351,0.00002446174,0.00002889354,0.0000184081],"domain_scores_gemma":[0.9999317,0.00001412716,0.00001426023,0.000004541828,0.00002598367,0.000009305194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002383732,0.00003845429,0.9222067,0.0001971842,0.000105978,0.0006517685,0.005430723,0.0006983039,0.05198885,0.00111819,0.0001870556,0.01713841],"study_design_scores_gemma":[0.000002013318,0.00002526748,0.9932768,0.0000100998,0.00003011641,0.0001895921,0.002100708,0.0004778292,0.002300452,0.0001577229,0.001424163,0.000005192939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983157,0.0001558849,0.000165023,0.00001922879,0.000001061388,0.000003982692,0.0001497836,0.000002770799,0.001186672],"genre_scores_gemma":[0.9994243,0.0000962175,0.0001267954,0.000005777009,8.705476e-7,0.000002545165,0.00006380632,0.000001895434,0.0002778753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06202749,"threshold_uncertainty_score":0.1233329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003151200275363327,"score_gpt":0.198178492920564,"score_spread":0.1950272926452006,"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."}}