{"id":"W4411243773","doi":"10.3390/su17125422","title":"Updating Water Quality Standards Criteria Considering Chemical Mixtures in the Context of Climate Change","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Climate change; Context (archaeology); Environmental science; Quality (philosophy); Water quality; Environmental resource management; Biochemical engineering; Environmental economics; Engineering; Geology; Economics; Ecology; Physics","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":[0.02982856,0.0006978709,0.0009249208,0.006335538,0.00159375,0.005129782,0.002439014,0.002134862,0.001577151],"category_scores_gemma":[0.04389637,0.0003537674,0.0012206,0.005471176,0.003159838,0.00493699,0.003167408,0.002005455,0.0004270709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005095782,"about_ca_system_score_gemma":0.01169503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988061,"about_ca_topic_score_gemma":0.02224161,"domain_scores_codex":[0.9550033,0.0135086,0.007372591,0.002388226,0.02058524,0.001141991],"domain_scores_gemma":[0.9343776,0.02125441,0.0085976,0.003151241,0.03206168,0.0005574715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004064574,0.000379723,0.07234485,0.0118853,0.0004696826,0.001736198,0.01229367,0.0207946,0.03494989,0.1683942,0.05691238,0.619433],"study_design_scores_gemma":[0.00004718663,0.0004999656,0.04688005,0.006251084,0.0005850483,0.0008523052,0.008836439,0.007433261,0.03867108,0.05373272,0.8359011,0.0003098108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2886869,0.08280626,0.2545141,0.04609267,0.006724225,0.003644876,0.005542671,0.001115327,0.310873],"genre_scores_gemma":[0.8105221,0.03694865,0.1248973,0.007552803,0.0009973247,0.00132098,0.003287262,0.0003016502,0.01417202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02982856,"threshold_uncertainty_score":0.1577504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261418731599148,"score_gpt":0.3637998026566822,"score_spread":0.3376579294967674,"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."}}