{"id":"W2168156523","doi":"10.1111/ele.12420","title":"Acceleration of cyanobacterial dominance in north temperate‐subarctic lakes during the Anthropocene","year":2015,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":384,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa; University of Regina; McGill University","funders":"Economic and Social Research Council; Engineering and Physical Sciences Research Council; Fundació Bosch i Gimpera; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alberta Ingenuity Centre for Water Research","keywords":"Subarctic climate; Dominance (genetics); Temperate climate; Cyanobacteria; Ecology; Phytoplankton; Environmental science; Nutrient; Biomass (ecology); Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572251,0.0001313989,0.0001594153,0.0008294781,0.0003918748,0.0004200219,0.0001047771,0.0001283984,0.0008335448],"category_scores_gemma":[0.0006547031,0.0001300577,0.0001310652,0.0008641569,0.0004404893,0.0003226025,0.0004427436,0.0001547833,0.00007598725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701184,"about_ca_system_score_gemma":0.0004157475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824998,"about_ca_topic_score_gemma":0.07532322,"domain_scores_codex":[0.9999045,0.00002079099,0.000008234637,0.00003072797,0.00001444653,0.0000213598],"domain_scores_gemma":[0.999684,0.00004663766,0.0001490603,0.00002039252,0.00006217576,0.00003774694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623606,0.00001006943,0.9838807,0.00005692428,0.00006457118,0.0001187696,0.002036659,0.0002129101,0.006690639,0.0001031187,0.000115354,0.006547845],"study_design_scores_gemma":[6.727687e-7,0.000003980984,0.9995341,0.000002946404,0.000005153338,0.00001157915,0.0001953396,0.00003410477,0.00007639408,0.000009114109,0.000125696,9.092601e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999239,0.0002018974,0.00003418103,0.00003239058,0.000001599414,0.000001022385,0.0001322984,0.000002064146,0.0003555504],"genre_scores_gemma":[0.9994816,0.0001847617,0.00007113204,0.00001567876,0.000004537728,0.000002387776,0.0001305351,0.000001599348,0.0001077512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02824998,"threshold_uncertainty_score":0.05617112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008894121199001633,"score_gpt":0.2059451587827256,"score_spread":0.1970510375837239,"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."}}