{"id":"W4294752279","doi":"10.1007/s10661-022-10450-9","title":"The occurrence of tire wear compounds and their transformation products in municipal wastewater and drinking water treatment plants","year":2022,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Effluent; Environmental chemistry; Chemistry; Sewage treatment; Wastewater; Environmental science; Waste management; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003896187,0.00009978483,0.00009329378,0.00002209867,0.0001304395,0.00001284436,0.00004598141,0.00001739682,0.000001046429],"category_scores_gemma":[3.978284e-7,0.00006247339,0.000007372248,0.00001513375,0.00006681727,0.00007761014,0.00007578981,0.000123598,9.541019e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282955,"about_ca_system_score_gemma":5.46905e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006478102,"about_ca_topic_score_gemma":5.747489e-7,"domain_scores_codex":[0.9995469,0.0000131382,0.0001176853,0.0001076657,0.00007463953,0.0001399289],"domain_scores_gemma":[0.9998612,0.00002553229,0.00001355533,0.00008332785,4.11319e-7,0.0000160001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001036829,0.00003932412,0.01748321,0.00002592181,0.00002003825,0.000001871934,0.003653842,0.001932419,0.9334456,0.000007147211,6.308902e-7,0.04337957],"study_design_scores_gemma":[0.0003736027,0.0001120509,0.007523754,0.00002201839,0.000004593907,0.00001101401,0.008719521,0.00220194,0.978947,0.00006099563,0.001911546,0.0001119633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989777,0.0006882956,0.000002160855,0.00007341854,0.00007181813,0.0001186815,0.00001555278,0.00002901592,0.00002331172],"genre_scores_gemma":[0.9981557,0.00162786,0.0001425262,5.277507e-7,0.00000818004,0.0000429543,0.000009697984,0.000006252707,0.000006353126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04550134,"threshold_uncertainty_score":0.2547591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220061834676029,"score_gpt":0.2212116413044933,"score_spread":0.209011022957733,"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."}}