{"id":"W3035464284","doi":"10.1007/s11356-020-09540-3","title":"Nitrated monoaromatic hydrocarbons (nitrophenols, nitrocatechols, nitrosalicylic acids) in ambient air: levels, mass size distributions and inhalation bioaccessibility","year":2020,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Masarykova Univerzita; Max-Planck-Gesellschaft; RECETOX Přírodovědecké Fakulty Masarykovy Univerzity; Grantová Agentura České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Environmental chemistry; Chemistry; Particulates; Leaching (pedology); Fraction (chemistry); Mass fraction; Total organic carbon; Environmental science; Chromatography; Organic chemistry; Soil water","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":[0.0001354072,0.0001857519,0.0001156132,0.0002717771,0.0001351127,0.0002648927,0.0001415759,0.0002098653,0.0004100633],"category_scores_gemma":[0.0001345973,0.0001021369,0.0001372834,0.0001793292,0.000136607,0.000129981,0.0001549416,0.0001294027,0.0001192485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789155,"about_ca_system_score_gemma":0.000171993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00625326,"about_ca_topic_score_gemma":0.00619179,"domain_scores_codex":[0.9998775,0.00001259385,0.000007558025,0.00004341419,0.00003828601,0.00002071688],"domain_scores_gemma":[0.9999223,0.00001436729,0.0000182181,0.000005514576,0.00002392872,0.00001563673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004979919,0.000108612,0.1894863,0.00008315725,0.00006681038,0.0000774779,0.0002269692,0.0007004747,0.8034178,0.00004904725,0.00005626991,0.005229006],"study_design_scores_gemma":[0.00001107872,0.0005861847,0.8904984,0.000008054311,0.0000344279,0.0001411044,0.0001995014,0.001045513,0.1069094,0.00004185264,0.0005136926,0.00001089306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993831,0.0001621433,0.0001647245,0.000001964559,9.79215e-7,0.000004103116,0.0001517788,0.000002471567,0.0001286959],"genre_scores_gemma":[0.9991123,0.0001272763,0.0001831951,0.000004132442,0.000001310882,0.000008048662,0.0002895253,0.000001970541,0.0002722268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00625326,"threshold_uncertainty_score":0.01243377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0787110012969915,"score_gpt":0.3465886562468545,"score_spread":0.267877654949863,"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."}}