{"id":"W4412634927","doi":"10.1111/1462-2920.70159","title":"Eutrophication and Warming Drive Algal Community Shifts in Synchronised Time Series of Experimental Lakes","year":2025,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development; Environment and Climate Change Canada; Concordia University; McGill University; Bureau de Coopération Interuniversitaire","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Research Chairs","keywords":"Eutrophication; Climate change; Ecosystem; Environmental science; Nutrient; Ecology; Algal bloom; Lake ecosystem; Nutrient pollution; Global warming; Habitat; Freshwater ecosystem; Biology; Phytoplankton","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":[],"consensus_categories":[],"category_scores_codex":[0.0001745241,0.0001344209,0.0002185605,0.00003944911,0.0001112533,0.000005400891,0.0001558028,0.0001025143,0.000540803],"category_scores_gemma":[0.000006198478,0.000134157,0.00002794849,0.0000632487,0.0004983725,0.00009485099,0.0002989486,0.0001598889,0.00007153939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091662,"about_ca_system_score_gemma":0.00000555084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001802824,"about_ca_topic_score_gemma":0.0002248693,"domain_scores_codex":[0.999119,0.0002061156,0.0002705387,0.000196701,0.00003471385,0.0001728875],"domain_scores_gemma":[0.9996061,0.00007207535,0.000094066,0.0001997987,5.759186e-7,0.00002735245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000313829,0.0001509252,0.07586256,0.00001104151,0.00001101191,0.000001510835,0.0008784736,0.00006928454,0.9224582,0.0001365058,0.00006537241,0.000323759],"study_design_scores_gemma":[0.002867968,0.0007948307,0.6777544,0.000183104,0.00004343284,0.00007545977,0.004396219,0.002780794,0.3033217,0.0009971479,0.00603172,0.0007532034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978737,0.0002105859,0.00004429294,0.00008051393,0.00005196044,0.0002252227,0.00005690095,0.000009479206,0.00144732],"genre_scores_gemma":[0.998992,0.00002436956,0.0004258518,0.0000646353,0.000004925639,0.00001662344,0.00009407955,0.000007231177,0.0003702712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6191365,"threshold_uncertainty_score":0.5921414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003641378088941492,"score_gpt":0.1963243718600992,"score_spread":0.1926829937711577,"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."}}