{"id":"W4313201305","doi":"10.1016/j.hal.2022.102367","title":"Nutrients and not temperature are the key drivers for cyanobacterial biomass in the Americas","year":2022,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"Comisión Sectorial de Investigación Científica; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Agencia Nacional de Investigación e Innovación","keywords":"Eutrophication; Biomass (ecology); Environmental science; Dominance (genetics); Nutrient; Phytoplankton; Ecology; Cyanobacteria; Global warming; Climate change; Phosphorus; Primary producers; Oceanography; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018648,0.0001989829,0.0002427889,0.0004263865,0.0004038716,0.0008155711,0.0002101861,0.0002438489,0.001335556],"category_scores_gemma":[0.0008989139,0.0001413958,0.0002307759,0.0006559786,0.000527782,0.000759659,0.0005085127,0.0004170479,0.0001375535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242214,"about_ca_system_score_gemma":0.001152057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1193966,"about_ca_topic_score_gemma":0.2178692,"domain_scores_codex":[0.999896,0.00001347782,0.000005530769,0.0000327058,0.00001964182,0.00003256108],"domain_scores_gemma":[0.9993013,0.00007412109,0.0002337567,0.00002909852,0.0002041658,0.0001575354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001257185,0.00002426003,0.9737164,0.00007612873,0.0001457377,0.00009657104,0.0003921604,0.0007954456,0.00725876,0.00183214,0.001951914,0.01358475],"study_design_scores_gemma":[0.000004708795,0.000005742816,0.9960552,0.0000138029,0.00002528288,0.00001835097,0.0006813383,0.0005355146,0.0002122082,0.0006216937,0.001820176,0.000005982734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903113,0.00149047,0.0002370834,0.002278463,0.00002347222,0.000003463659,0.0005773607,0.0000278868,0.005050531],"genre_scores_gemma":[0.9989699,0.0004332849,0.00007905998,0.0001428599,0.00001481306,0.000001444079,0.0001311306,0.000006419087,0.0002210848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1193966,"threshold_uncertainty_score":0.2374032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106489852996515,"score_gpt":0.2167040199154868,"score_spread":0.2060550346158353,"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."}}