{"id":"W2964450364","doi":"10.1016/j.scitotenv.2019.133734","title":"Sulfamate in environmental waters","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto and Region Conservation Authority; University of Waterloo; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Sulfamic acid; Anoxic waters; Environmental chemistry; Groundwater; Precipitation; Acid rain; Environmental science; Deposition (geology); Chemistry; Pollution; Water pollution; Wastewater; TRACER; STREAMS; Environmental engineering; Geology; Ecology; Nuclear chemistry","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":[0.0001754725,0.0002496675,0.000118028,0.000643439,0.0002570422,0.0004059049,0.0001188361,0.0004457403,0.001506733],"category_scores_gemma":[0.0001579363,0.0001000019,0.00008673182,0.0002221089,0.0002747652,0.0004700061,0.0003175769,0.0001723012,0.000313237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573997,"about_ca_system_score_gemma":0.0002642116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960018,"about_ca_topic_score_gemma":0.001641201,"domain_scores_codex":[0.999915,0.00002694102,0.000005057711,0.00001395802,0.00002158209,0.00001749],"domain_scores_gemma":[0.9999599,0.000006644668,0.000006588848,0.000002070629,0.00001748338,0.000007312482],"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":[0.00129604,0.0001328264,0.01257773,0.0005962874,0.00007139488,0.002645543,0.0007135067,0.005372847,0.8198919,0.0457771,0.003465548,0.1074594],"study_design_scores_gemma":[0.00006493044,0.001777666,0.02521112,0.0001464128,0.00006228907,0.00214423,0.001346804,0.01027855,0.7873583,0.01901008,0.1525474,0.00005221225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431084,0.02272076,0.002934145,0.0008550028,0.0003900034,0.00001927937,0.0001685742,0.00005959033,0.02974418],"genre_scores_gemma":[0.9787001,0.006716413,0.0007233578,0.00008857422,0.0001430849,0.000005014971,0.00008185021,0.00000675035,0.01353479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960018,"threshold_uncertainty_score":0.005040586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00411938124647515,"score_gpt":0.1683905449418249,"score_spread":0.1642711636953498,"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."}}