{"id":"W4389558994","doi":"10.21203/rs.3.rs-3716833/v1","title":"NP, OP and derivatives in freshwater sediment downstream of textile associated municipal wastewater discharges.","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Government of Canada","keywords":"Nonylphenol; Alkylphenol; Sediment; Wastewater; Environmental science; Environmental chemistry; Sewage treatment; Downstream (manufacturing); Environmental engineering; Chemistry; Geology; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172748,0.0002418285,0.0002140834,0.0006913494,0.000560641,0.0007447437,0.0002151075,0.0006097052,0.002391618],"category_scores_gemma":[0.0003109681,0.000129703,0.0002273726,0.0007875613,0.0002608255,0.0002953364,0.0003879259,0.0003449592,0.0005075054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774573,"about_ca_system_score_gemma":0.0007908036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04636367,"about_ca_topic_score_gemma":0.03335972,"domain_scores_codex":[0.9997811,0.00001628361,0.00001315062,0.00007422219,0.000067868,0.00004745371],"domain_scores_gemma":[0.9998319,0.00001807004,0.00004178497,0.0000056634,0.00007988004,0.00002263799],"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":[0.004350992,0.0003340938,0.2737099,0.0009537333,0.0001802894,0.002148286,0.00129561,0.004864279,0.6591479,0.0007091341,0.002622082,0.04968362],"study_design_scores_gemma":[0.00004697224,0.001034736,0.8588462,0.0001195978,0.0001546237,0.0006059816,0.004582059,0.005531136,0.1162916,0.0006646551,0.01207383,0.00004867688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950902,0.0003148051,0.0002392699,0.00004487224,0.0000261972,0.00001236878,0.001807339,0.00001393632,0.002450892],"genre_scores_gemma":[0.9928554,0.0003435969,0.0003211471,0.00002380286,0.000009467762,0.00001050071,0.0009575118,0.00001126742,0.005467408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04636367,"threshold_uncertainty_score":0.09218764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09623602660962725,"score_gpt":0.3871707025589926,"score_spread":0.2909346759493653,"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."}}