{"id":"W3130295987","doi":"10.1007/s11356-021-12898-7","title":"Qualitative and quantitative analysis of microplastics and microfiber contamination in effluents of the City of Saskatoon wastewater treatment plant","year":2021,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; Saskatoon City Hospital; University of Saskatchewan","funders":"Global Water Futures; Canada Foundation for Innovation","keywords":"Microplastics; Microfiber; Effluent; Environmental science; Contamination; Wastewater; Sewage treatment; Environmental chemistry; Laundry; Pulp and paper industry; Environmental engineering; Chemistry; Waste management; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001110158,0.0000809604,0.0001861222,0.0001835452,0.0001422896,0.00001231694,0.00007783141,0.00004032207,0.00009301244],"category_scores_gemma":[0.0001127562,0.00005736626,0.00002552353,0.0008234812,0.002813031,0.0001106237,0.0002456369,0.00007201497,0.000001187425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931011,"about_ca_system_score_gemma":0.00003845602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008887202,"about_ca_topic_score_gemma":0.0008279001,"domain_scores_codex":[0.9985075,0.0002643749,0.0002483623,0.0002641058,0.0005243742,0.0001912832],"domain_scores_gemma":[0.9994653,0.000236286,0.000105339,0.0001166203,0.00001494237,0.0000614578],"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":[0.00004463786,0.0001294026,0.1833338,0.0000102084,0.0000292577,9.215504e-7,0.007442849,0.0001077509,0.8081332,0.0002405743,0.000005744084,0.0005216069],"study_design_scores_gemma":[0.0003202196,0.0001767261,0.7665846,0.00002218798,0.00004182893,0.000002791446,0.004180789,0.002216363,0.2262833,0.0000661226,0.00005620379,0.00004882544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991488,0.0001456925,0.0000343939,0.00009150852,0.00002087544,0.0001428548,0.0003216383,5.962333e-7,0.00009361527],"genre_scores_gemma":[0.999406,0.0002404529,0.0002405533,0.000007283006,0.000001300634,0.00000287237,0.000007971543,0.000002158994,0.00009144034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5832508,"threshold_uncertainty_score":0.9999008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449349990155192,"score_gpt":0.339630362957435,"score_spread":0.2951368630558831,"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."}}