{"id":"W1674334053","doi":"10.1002/rra.1543","title":"SPATIAL, SEASONAL AND INTER‐ANNUAL VARIABILITY IN ENVIRONMENTAL CHARACTERISTICS AND PHYTOPLANKTON STANDING STOCK OF THE TEMPERATE, LOWLAND RIDEAU RIVER, ONTARIO, CANADA","year":2011,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Canadian Museum of Nature","funders":"Parks Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Museum of Nature; EJLB Foundation","keywords":"Phytoplankton; Environmental science; Eutrophication; Stock (firearms); Temperate climate; Nutrient; Standing crop; Storm; Hydrology (agriculture); Ecology; Oceanography; Biomass (ecology); Geography; Biology","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":[0.0003240081,0.000177624,0.0002525698,0.0006676583,0.001091035,0.0007248676,0.0005793463,0.0001953027,0.0009616269],"category_scores_gemma":[0.0007795116,0.0001857641,0.0002190551,0.001252565,0.0004390868,0.0001858875,0.0003436586,0.0001510831,0.0001733718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007567766,"about_ca_system_score_gemma":0.005206668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9781773,"about_ca_topic_score_gemma":0.9941711,"domain_scores_codex":[0.9997718,0.00002727237,0.0000130955,0.00006238953,0.00005951479,0.00006602687],"domain_scores_gemma":[0.9991093,0.0001132638,0.0001519159,0.00005204162,0.0004230345,0.0001504476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008778692,0.00001812695,0.9873548,0.00003512834,0.00007823404,0.0001147965,0.001579426,0.0002606172,0.002831989,0.00006964579,0.0007674957,0.006801941],"study_design_scores_gemma":[0.000002054931,0.000009681297,0.9983193,0.000004586722,0.000008617526,0.00001788789,0.0006106498,0.0001744154,0.00006610082,0.000004893784,0.000777666,0.000004080682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997247,0.0002383294,0.0001029996,0.00004497594,0.000002205089,0.00001239241,0.001314532,0.00001227536,0.001025087],"genre_scores_gemma":[0.996676,0.0001229228,0.0002688213,0.00001992023,0.000001277614,0.00001380154,0.0008655827,0.00000520547,0.002026498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02182269,"threshold_uncertainty_score":0.05490822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0245499651037564,"score_gpt":0.2471610248385175,"score_spread":0.2226110597347611,"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."}}