{"id":"W2069480299","doi":"10.1080/07438140509354434","title":"Interaction of Nutrients and Turbidity in the Control of Phytoplankton in a Large Western Canadian Lake Prior to Major Watershed Impoundments","year":2005,"lang":"en","type":"article","venue":"Lake and Reservoir Management","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Astellas Pharma US","keywords":"Phytoplankton; Tributary; Environmental science; Nutrient; Hydrology (agriculture); Watershed; Turbidity; Ecosystem; Lake ecosystem; Oceanography; Biomass (ecology); Eutrophication; Fjord; Ecology; Geology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004573266,0.00008831493,0.0001587401,0.00008574088,0.00003829104,0.00001770836,0.0001418894,0.00003447169,0.0000831719],"category_scores_gemma":[0.000005061321,0.00006284459,0.00001646469,0.0001302219,0.00002529371,0.0001079241,0.0000923659,0.00006857069,0.000008574539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005877029,"about_ca_system_score_gemma":0.00000383277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01247693,"about_ca_topic_score_gemma":0.901877,"domain_scores_codex":[0.9991347,0.00006013656,0.0002591565,0.0001720432,0.0001662508,0.0002077534],"domain_scores_gemma":[0.9996737,0.00002353723,0.0000685284,0.0001669276,0.000003670523,0.00006361404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007333378,0.0001178342,0.9951339,0.0001059797,0.00001599247,0.00001396319,0.002210617,0.0005972253,0.00004120398,0.0000958864,0.0002465975,0.001347426],"study_design_scores_gemma":[0.001594889,0.00007637061,0.9256858,0.0001024176,0.00001416116,0.000002671513,0.0006468793,0.002578368,0.00003611905,0.00007911963,0.06908561,0.00009759417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964469,0.00002288729,0.00006563811,0.0008079259,0.00004032218,0.0006559698,0.00006592158,0.000002052487,0.001892358],"genre_scores_gemma":[0.9992614,0.00003452786,0.00007087269,0.0003062789,0.00001119135,0.00003114506,0.00001507373,0.000004325134,0.0002651978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8894001,"threshold_uncertainty_score":0.9940991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007228932252044607,"score_gpt":0.2269640786488318,"score_spread":0.2197351463967872,"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."}}