{"id":"W893117612","doi":"","title":"Special issue on Watershed Management and Nearshore Lake Water Quality, the Conesus Lake Watershed Study.","year":2009,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Water quality; Environmental science; Hydrology (agriculture); Watershed management; Fishery; Oceanography; Geology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002140529,0.001618416,0.002402368,0.002444475,0.0009799191,0.002227169,0.001992884,0.002271508,0.07501606],"category_scores_gemma":[0.00354424,0.0006262852,0.001216832,0.002339932,0.0005209357,0.001401848,0.001579048,0.001764587,0.01180859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507052,"about_ca_system_score_gemma":0.00255377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098931,"about_ca_topic_score_gemma":0.03687844,"domain_scores_codex":[0.999512,0.00008292655,0.00008567478,0.00009685438,0.0001498021,0.00007283755],"domain_scores_gemma":[0.9950341,0.001329028,0.0003101043,0.0002134812,0.001461132,0.00165227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007042509,0.00005349004,0.0008868432,0.0001477487,0.00001471735,0.00005616887,0.00001390736,0.00002750112,0.0001041116,0.00008254612,0.9911036,0.007438858],"study_design_scores_gemma":[0.0001632695,0.0001975406,0.03689981,0.0005231092,0.00009042637,0.0002662246,0.0002272291,0.000173814,0.0001691278,0.0006329799,0.9606379,0.00001862118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.004454921,0.048876,0.0009865862,0.07201125,0.8293475,0.0004277385,0.02117424,0.0002699759,0.02245182],"genre_scores_gemma":[0.01000965,0.05544768,0.001414199,0.01481376,0.7173656,0.0006306206,0.02866488,0.0003319311,0.1713217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07501606,"threshold_uncertainty_score":0.2509537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304955128523898,"score_gpt":0.330954701046333,"score_spread":0.287905149761094,"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."}}