{"id":"W3217410803","doi":"10.1002/lno.11982","title":"Warming combined with experimental eutrophication intensifies lake phytoplankton blooms","year":2021,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; Université Laval; Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Ministry of Natural Resources and Forestry","keywords":"Eutrophication; Phytoplankton; Environmental science; Nutrient; Climate change; Algal bloom; Phosphorus; Human fertilization; Diazotroph; Ecology; Oceanography; Nitrogen; Biology; Agronomy; Nitrogen fixation; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006483263,0.0001380894,0.000180741,0.00003935551,0.0001719611,0.00002229995,0.00007853856,0.00009796823,0.0002974634],"category_scores_gemma":[0.000007055458,0.0001138511,0.00003880244,0.0002270668,0.0002847777,0.0001055941,0.00008592305,0.0001288166,0.00002880442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009354802,"about_ca_system_score_gemma":0.000006729873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009473619,"about_ca_topic_score_gemma":0.0005602495,"domain_scores_codex":[0.9991881,0.00004977461,0.000152547,0.0003005642,0.0001021978,0.0002068185],"domain_scores_gemma":[0.9996076,0.00004274527,0.00007074732,0.0002017326,0.00001279034,0.00006436635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001189253,0.0001469318,0.9882773,0.00002014609,0.00006528132,0.00007087753,0.0007829719,0.0000439038,0.005570351,0.003870164,0.0004027758,0.0006304046],"study_design_scores_gemma":[0.005259919,0.002911386,0.8602614,0.0002167089,0.0002152409,0.001242759,0.007129877,0.00614102,0.06628627,0.004289616,0.04438453,0.00166129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995538,0.0004018785,0.0003058476,0.000342128,0.0001327598,0.0001007593,0.00000881658,0.00004959891,0.003120197],"genre_scores_gemma":[0.9981672,0.00007333331,0.001045949,0.0003500045,0.00002346534,0.00001124653,0.00004847899,0.00001035764,0.0002699945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280159,"threshold_uncertainty_score":0.4642711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006097130215790969,"score_gpt":0.1957924627807835,"score_spread":0.1896953325649925,"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."}}