{"id":"W3160370953","doi":"10.1139/as-2020-0033","title":"Evidence of eutrophication in Arctic lakes","year":2021,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Bureau de Coopération Interuniversitaire; University of Waterloo; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Polar Knowledge Canada","keywords":"Eutrophication; Environmental science; Watershed; Trophic level; Phytoplankton; Trophic state index; Nutrient; Arctic; Ecology; Hydrology (agriculture); Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003430415,0.000151768,0.0001732358,0.001019447,0.0008286877,0.0005535914,0.000134893,0.0001662644,0.0006695907],"category_scores_gemma":[0.0006932277,0.0001764592,0.0001520538,0.001091714,0.0004779017,0.0002209708,0.0005227036,0.0001232616,0.00007952408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821436,"about_ca_system_score_gemma":0.0005983628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08264121,"about_ca_topic_score_gemma":0.2283127,"domain_scores_codex":[0.9997756,0.00004026143,0.00002419826,0.00004248474,0.00007161192,0.00004587925],"domain_scores_gemma":[0.9994329,0.00005717968,0.000208171,0.00001882695,0.0001731132,0.0001098164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043246,0.000009569424,0.9907143,0.00002314113,0.00003406281,0.0001004662,0.0008443003,0.00008547317,0.005277534,0.00005319666,0.00007361246,0.002680044],"study_design_scores_gemma":[6.907546e-7,0.0000108007,0.9991943,0.000004638226,0.000006467943,0.00004655813,0.0003034232,0.00007437336,0.0001587879,0.00001751784,0.000180998,0.000001452864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988778,0.0001365471,0.00003398536,0.0000164679,0.000001039642,0.000001195398,0.0001066371,0.000002029323,0.0008242443],"genre_scores_gemma":[0.9994837,0.0001183365,0.00008324598,0.00001034559,0.000002453409,0.000001714779,0.0001171925,0.000001058567,0.0001819307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08264121,"threshold_uncertainty_score":0.1643203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08670288516581501,"score_gpt":0.290730680174639,"score_spread":0.204027795008824,"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."}}