{"id":"W182690262","doi":"10.1007/978-3-540-26643-3_18","title":"Planktonic Community Dynamics over Time in a Large Reservoir and their Influence on Carbon Budgets","year":2005,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ouranos; Université du Québec à Montréal; Hydro-Québec","funders":"","keywords":"Zooplankton; Environmental science; Plankton; Biomass (ecology); Turbidity; Community structure; Ecology; Abundance (ecology); Carbon fibers; Carbon cycle; Flooding (psychology); Oceanography; Hydrology (agriculture); Ecosystem; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002510438,0.0001495752,0.0002404653,0.0004183685,0.0003989768,0.0007852527,0.0003861078,0.0004368603,0.001113397],"category_scores_gemma":[0.0008798941,0.0002775034,0.000273441,0.0006952633,0.0004108906,0.001248885,0.0004924688,0.0002834796,0.0001742447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006218659,"about_ca_system_score_gemma":0.0003232404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946267,"about_ca_topic_score_gemma":0.01829815,"domain_scores_codex":[0.9999598,0.000006177466,0.00000292609,0.00001162616,0.000009915209,0.000009462178],"domain_scores_gemma":[0.9997343,0.0001413529,0.00003901657,0.00001310051,0.00003462523,0.00003749082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005411988,0.0002136981,0.7193585,0.0002239764,0.0002757148,0.001797347,0.001572744,0.06956271,0.09786858,0.007941308,0.002013727,0.09863041],"study_design_scores_gemma":[0.000008576769,0.0001173593,0.900977,0.00001887851,0.00007798502,0.0005033519,0.0007587691,0.08755999,0.004069764,0.004165991,0.001677992,0.00006417889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969348,0.0003445133,0.0007680606,0.00007206741,0.000003779355,0.000001403753,0.0001318657,0.00001052757,0.001732963],"genre_scores_gemma":[0.9979942,0.0002607606,0.0004355705,0.000007117525,0.00000418622,0.000002768712,0.00008541335,0.00001001452,0.001200027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007946267,"threshold_uncertainty_score":0.0158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003727793648780563,"score_gpt":0.1693467297170419,"score_spread":0.1656189360682614,"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."}}