{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003873643,0.00007281654,0.00009994211,0.00001663322,0.0002400083,0.000007981093,0.0001102186,0.00004632231,0.000918299],"category_scores_gemma":[0.00001492647,0.00005609557,0.000007342365,0.0000679939,0.001085686,0.00007938378,0.000270939,0.0002178382,0.000005205443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346912,"about_ca_system_score_gemma":0.00008671895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4696175,"about_ca_topic_score_gemma":0.6896009,"domain_scores_codex":[0.9991898,0.0001023839,0.000133099,0.0002230579,0.0001679494,0.0001837155],"domain_scores_gemma":[0.9996343,0.00009249411,0.00003808413,0.0001410486,0.000007105665,0.0000869252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002152107,0.00009860298,0.995411,0.000007532952,0.000004298,0.000001456251,0.001230783,1.455993e-7,0.0004687285,0.000104373,0.0002084941,0.002443098],"study_design_scores_gemma":[0.0002029442,0.00005084229,0.9974321,0.000007233465,0.000006354897,0.000004570747,0.000189795,0.000158783,0.0003380223,0.0008353151,0.0007134966,0.00006056568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988921,0.0000106735,0.0001466886,0.00004398169,0.00001573763,0.000408403,0.0001751378,0.000001782358,0.0003055268],"genre_scores_gemma":[0.9994605,0.00002848475,0.0001009433,0.00001977512,0.000009524586,0.00006172095,0.00001056803,0.000003431685,0.0003050163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2199834,"threshold_uncertainty_score":0.999995,"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."}}