{"id":"W1024024925","doi":"10.1016/j.jglr.2015.06.008","title":"Effects of water level fluctuations on phytoplankton in a Changjiang River floodplain lake (Poyang Lake): Implications for dam operations","year":2015,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Phytoplankton; Environmental science; Water level; Biomass (ecology); Floodplain; Ecological succession; Hydrology (agriculture); Diatom; Ecology; Oceanography; Biology; Nutrient; Geology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001785986,0.0001197933,0.0002765712,0.0002741833,0.0001672291,0.00003900141,0.0003276299,0.00009102497,0.0001459187],"category_scores_gemma":[0.0003975631,0.00008417213,0.00008852472,0.000344804,0.0001482882,0.0002481671,0.00008540344,0.0002853868,0.00006526543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986532,"about_ca_system_score_gemma":0.00008289721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122579,"about_ca_topic_score_gemma":0.02495717,"domain_scores_codex":[0.9982238,0.0002164296,0.0004714022,0.000177673,0.0005483019,0.0003624018],"domain_scores_gemma":[0.9988505,0.0004537926,0.00009234173,0.0002333977,0.0001883499,0.0001815734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001697029,0.004159363,0.4671532,0.001140207,0.0005338333,0.0002061367,0.05219112,0.1438827,0.2331674,0.01455975,0.04787526,0.03343404],"study_design_scores_gemma":[0.01249884,0.005398989,0.7878159,0.001310177,0.0001603096,0.0002973554,0.001490202,0.05232042,0.02993926,0.01604385,0.09166496,0.001059686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908457,0.00005569855,0.00470503,0.001213144,0.0001539307,0.0008541094,0.0002194652,0.000005610802,0.001947349],"genre_scores_gemma":[0.996882,0.00002312368,0.001577173,0.00003944934,0.0001378775,0.00008635366,0.00005893332,0.00001767574,0.001177379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206627,"threshold_uncertainty_score":0.9928348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06998306759721817,"score_gpt":0.3345940969666364,"score_spread":0.2646110293694182,"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."}}