{"id":"W4400032613","doi":"10.2139/ssrn.4877653","title":"Plastic Contamination and Water Quality Assessment of Urban Wastewaters","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Contamination; Water quality; Environmental science; Quality (philosophy); Water contamination; Water resource management; Environmental planning; Waste management; Environmental engineering; Engineering; Biology; Ecology","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":[0.000338656,0.0002987427,0.0002419425,0.0007000787,0.00024534,0.0008505867,0.0001528476,0.0004921277,0.0008386684],"category_scores_gemma":[0.0003227105,0.0001281541,0.0002715823,0.0004610887,0.0002349789,0.0002256899,0.0003736371,0.0001768262,0.0002488018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521306,"about_ca_system_score_gemma":0.0002833304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220926,"about_ca_topic_score_gemma":0.001641141,"domain_scores_codex":[0.9997055,0.00006571451,0.00001362865,0.00005807554,0.000114226,0.00004287972],"domain_scores_gemma":[0.9999148,0.00002467614,0.0000161575,0.000005501665,0.00003142146,0.000007385698],"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":[0.001492521,0.0002657356,0.09837355,0.0005062574,0.0001383222,0.000432396,0.0003551535,0.02024263,0.8091118,0.0007649937,0.0003187109,0.06799788],"study_design_scores_gemma":[0.00002608311,0.0009694292,0.1119704,0.00003716474,0.0001297458,0.0003855284,0.0006624084,0.02649156,0.8529021,0.001647632,0.004745965,0.00003185694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942082,0.0004829089,0.003298864,0.00002970477,0.00000758471,0.00001346885,0.0001761505,0.00001803499,0.001765067],"genre_scores_gemma":[0.9967498,0.0004008738,0.0008428924,0.00001760677,0.000004242644,0.000006386949,0.0001449983,0.000006103869,0.001827089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002220926,"threshold_uncertainty_score":0.004415989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009077850506948185,"score_gpt":0.2508995238152884,"score_spread":0.2418216733083402,"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."}}