{"id":"W2055189891","doi":"10.1139/f09-149","title":"Long-term changes in climate, streamflow, and nutrient budgets for first-order catchments at the Experimental Lakes Area (Ontario, Canada)This paper is part of the series “Forty Years of Aquatic Research at the Experimental Lakes Area”.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; University of Alberta; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Precipitation; Surface runoff; Water year; Hydrology (agriculture); Nutrient; Drainage basin; Dissolved organic carbon; Nitrate; Ammonium; Streamflow; Deposition (geology); Climate change; Phosphorus; Ecology; Sediment; Geography; Biology; Geology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006723303,0.0001504605,0.0002300869,0.0000553723,0.0008331368,0.00009253125,0.0004292715,0.00004260664,0.0004605614],"category_scores_gemma":[0.00006122245,0.00008193008,0.00004900813,0.0002842886,0.001987186,0.0002521469,0.0001180464,0.0001122098,4.185338e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600589,"about_ca_system_score_gemma":0.0003362172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3267324,"about_ca_topic_score_gemma":0.9837595,"domain_scores_codex":[0.9982868,0.00007158033,0.0003597916,0.0002208246,0.0006090112,0.0004520308],"domain_scores_gemma":[0.9992036,0.0001805079,0.0002183093,0.0001909849,0.0000204603,0.000186203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005561675,0.00004190811,0.9795547,0.00001052019,0.00001432321,0.0000110641,0.01488848,0.00002099378,0.0003373608,0.00001326379,0.004433637,0.0006181002],"study_design_scores_gemma":[0.001466359,0.001912803,0.9260132,0.000445589,0.0000557349,0.0001664183,0.03462922,0.0006089082,0.01888895,0.0009442099,0.01442775,0.0004408936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928526,0.001154143,3.428226e-7,0.005068451,0.0001897199,0.0003357498,0.00003821007,9.349056e-7,0.0003598864],"genre_scores_gemma":[0.9988075,0.0001625571,0.00002460718,0.0003303655,0.00001726599,0.00001760435,0.000002684899,0.000005551001,0.000631801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6570271,"threshold_uncertainty_score":0.732187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595097375133078,"score_gpt":0.2447978759525239,"score_spread":0.2188469022011931,"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."}}