{"id":"W3192036235","doi":"10.2166/wpt.2021.076","title":"Temporal variations of <i>de facto</i> wastewater reuse and disinfection by-products in public water systems in the Shenandoah River watershed, USA","year":2021,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; De facto; Reuse; Wastewater; Hydrology (agriculture); Water year; Quarter (Canadian coin); Environmental engineering; Geography; Drainage basin; Waste management; Engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002929547,0.00007555473,0.0001116212,0.0008093922,0.0002025211,0.0003940524,0.0001959411,0.0001921657,0.0006362215],"category_scores_gemma":[0.0007773509,0.00008814593,0.00014779,0.001611106,0.0002238847,0.0003288961,0.0003210054,0.0001575152,0.00007494886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446544,"about_ca_system_score_gemma":0.0004699044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08021095,"about_ca_topic_score_gemma":0.1562796,"domain_scores_codex":[0.9998075,0.00003119205,0.00002432258,0.00004382731,0.00005524557,0.00003788],"domain_scores_gemma":[0.9991238,0.0001528125,0.0003921696,0.00003658036,0.0002162264,0.00007847665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003442571,0.00001637251,0.9957311,0.00001205605,0.00003086378,0.00004697009,0.0003488908,0.00008796752,0.001205537,0.00002482151,0.000132351,0.002328782],"study_design_scores_gemma":[4.149165e-7,0.000008915144,0.9993088,0.000001126415,0.000003895994,0.00001324788,0.0002471643,0.0001635025,0.0001274944,0.000005254997,0.000119024,0.000001196115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993063,0.00002409302,0.00004306808,0.00002323918,7.695535e-7,0.000002561475,0.0003491377,0.000003774926,0.0002471179],"genre_scores_gemma":[0.9993424,0.0000225255,0.00005880132,0.000007460379,0.000001973745,0.000004379792,0.0004354023,8.174147e-7,0.0001262677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08021095,"threshold_uncertainty_score":0.1594881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310964942899522,"score_gpt":0.2218780680042431,"score_spread":0.2087684185752479,"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."}}