{"id":"W2172917067","doi":"10.1139/f2011-041","title":"Water quality changes in south-central Ontario lakes and the role of local factors in regulating lake response to regional stressors","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Ministry of Natural Resources","keywords":"Watershed; Water quality; Environmental science; Hydrology (agriculture); Deposition (geology); Stressor; Phosphorus; Ecology; Sediment; Geology; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958315,0.0001640326,0.0002381147,0.000489926,0.001055305,0.0006399485,0.0002811977,0.0002011255,0.0005514798],"category_scores_gemma":[0.0006728711,0.0001860978,0.0001767421,0.000843422,0.0007677784,0.000237541,0.0004728747,0.0001625421,0.00005650208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006768401,"about_ca_system_score_gemma":0.003856849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8562458,"about_ca_topic_score_gemma":0.9657407,"domain_scores_codex":[0.9998032,0.00002143653,0.000009003928,0.00004488126,0.00005645134,0.00006487385],"domain_scores_gemma":[0.999559,0.00002871753,0.0001614024,0.00001470673,0.0001494443,0.00008665214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002429481,0.00002895285,0.9755594,0.00004962893,0.0000653886,0.000237539,0.002684705,0.0004381643,0.01465986,0.00007639564,0.0003157134,0.005641324],"study_design_scores_gemma":[0.000001435396,0.000006105516,0.999332,0.000001511754,0.000003517027,0.000007097283,0.0003685847,0.00006897773,0.0000834407,0.000006466219,0.0001190792,0.00000169422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993381,0.00006938841,0.00003117001,0.00003009211,8.41473e-7,0.000005158055,0.00008193163,0.000001975024,0.0004413878],"genre_scores_gemma":[0.9994385,0.00006721587,0.00005969939,0.0000123907,0.00000100517,0.000005610948,0.00009964309,0.000001425619,0.0003146452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437542,"threshold_uncertainty_score":0.2892015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450945562028162,"score_gpt":0.2040316152035509,"score_spread":0.1795221595832693,"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."}}