{"id":"W2051707579","doi":"10.5268/iw-3.2.527","title":"Long-term seasonal effects of dreissenid mussels on phytoplankton in Lake Simcoe, Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Inland Waters","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dreissena; Phytoplankton; Environmental science; Oceanography; Biomass (ecology); Seasonality; Ecosystem; Grazing pressure; Zebra mussel; Boreal; Climate change; Fishery; Ecology; Mussel; Grazing; Nutrient; Biology; Bivalvia; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002781071,0.0002628365,0.0002330956,0.0006484626,0.001731297,0.0006029173,0.0003765277,0.0002278859,0.001054732],"category_scores_gemma":[0.0007418406,0.0001946288,0.0002234389,0.001089788,0.0004370708,0.0002441718,0.0005759466,0.0002274316,0.0001182557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01372589,"about_ca_system_score_gemma":0.009515945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751166,"about_ca_topic_score_gemma":0.9947867,"domain_scores_codex":[0.9997807,0.00001404548,0.00001485202,0.00004392388,0.00008572233,0.00006075054],"domain_scores_gemma":[0.9986438,0.00004566154,0.0002194299,0.00002612437,0.0007945342,0.0002705183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001098387,0.00002081398,0.9919913,0.00003496989,0.00004552073,0.00008135055,0.000774082,0.0002064677,0.003740203,0.00002658393,0.0005422886,0.002426576],"study_design_scores_gemma":[0.000002488032,0.00001023241,0.9985324,0.000005115403,0.000007936459,0.000006852867,0.0005275031,0.000256427,0.0001875177,0.000004729138,0.0004553118,0.000003425321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979922,0.0001270452,0.00004458417,0.00008415459,0.000003349778,0.0000100992,0.0009602017,0.000006250252,0.0007721161],"genre_scores_gemma":[0.9977781,0.0001141911,0.0001357761,0.00005244519,0.00000232104,0.00001081217,0.0007738706,0.00000277758,0.00112965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02488345,"threshold_uncertainty_score":0.09958875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003791646754981021,"score_gpt":0.1776763670764467,"score_spread":0.1738847203214657,"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."}}