{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002444567,0.0002129864,0.0002113845,0.001020345,0.0008899968,0.00085875,0.0002966577,0.0002554612,0.0008799428],"category_scores_gemma":[0.0004460891,0.00009485482,0.0002080179,0.002823135,0.0004275475,0.0002338295,0.0003704867,0.000232452,0.0001307368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01383977,"about_ca_system_score_gemma":0.005749521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983066,"about_ca_topic_score_gemma":0.9921544,"domain_scores_codex":[0.9997662,0.00001655847,0.00001577301,0.00005417654,0.00008432967,0.00006304261],"domain_scores_gemma":[0.9992841,0.00003500511,0.0001122041,0.00001317985,0.0004559894,0.00009954754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009575152,0.00003322796,0.9786306,0.00005132468,0.00006830182,0.0001311494,0.0007545545,0.0009098753,0.002043766,0.0001037806,0.001212769,0.01596486],"study_design_scores_gemma":[0.000003301104,0.00002056658,0.9971437,0.000007034744,0.00001592154,0.00002839783,0.0006585834,0.00067532,0.0002028199,0.00001025233,0.001227057,0.000007047798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952118,0.0002035565,0.000210571,0.0000897655,0.000003048154,0.00001449076,0.003033313,0.00002670123,0.001206708],"genre_scores_gemma":[0.9944371,0.0001904922,0.0005097233,0.00004782193,0.000002001744,0.00001478146,0.00329369,0.00000481661,0.001499491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01693404,"threshold_uncertainty_score":0.1004151,"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."}}