{"id":"W2040157936","doi":"10.2166/wst.2012.850","title":"Water quality trends in the last decade for ten watersheds dominated by diffuse pollution in Québec (Canada)","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Environmental science; Water quality; Pollution; Eutrophication; Turbidity; Hydrology (agriculture); Watershed; Fecal coliform; Nitrate; Water pollution; Nutrient pollution; Phosphorus; Nutrient; Environmental chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431814,0.0001885887,0.0001941618,0.0004282244,0.0002495398,0.00003880317,0.001117582,0.0001555814,0.00003439183],"category_scores_gemma":[0.00002885808,0.0000941695,0.00003406433,0.001139789,0.001139031,0.0004897125,0.0003809675,0.0002161065,0.00003756655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008091561,"about_ca_system_score_gemma":0.00002779493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1760916,"about_ca_topic_score_gemma":0.2726619,"domain_scores_codex":[0.9974596,0.00006403531,0.0003454687,0.0004456328,0.000419041,0.001266228],"domain_scores_gemma":[0.9994152,0.00001893708,0.00004038641,0.0004329348,0.00001008613,0.00008244567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002892663,0.0002417404,0.9348028,0.00000346415,0.00000168994,0.000002999961,0.003222154,0.00005755232,0.05478439,0.0001392158,0.0006923467,0.006022708],"study_design_scores_gemma":[0.00270612,0.0002144244,0.372694,0.00001352029,0.00001625278,0.0000395903,0.002298306,0.001484676,0.5401067,0.004562894,0.07505542,0.0008081092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980558,0.00001438263,0.000137241,0.01850394,0.0001758598,0.000209779,0.000008489235,0.00005136335,0.0003409533],"genre_scores_gemma":[0.9988343,0.000002489485,0.00009446135,0.0006869702,0.00001316864,0.000109391,0.00002116733,0.00001007877,0.0002279965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5621088,"threshold_uncertainty_score":0.8293949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008715272879491621,"score_gpt":0.2358356257838295,"score_spread":0.2271203529043379,"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."}}