{"id":"W2069429069","doi":"10.1016/j.jglr.2014.04.007","title":"Submerged macrophyte communities and the controlling factors in large, shallow Lake Taihu (China): Sediment distribution and water depth","year":2014,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Macrophyte; Eutrophication; Environmental science; Sediment; Biomass (ecology); Aquatic plant; Lake ecosystem; Nutrient; Hydrology (agriculture); Ecology; Ecosystem; Geology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003396036,0.00032809,0.0002997761,0.0008536869,0.0006547705,0.0005128249,0.0003471987,0.0002895777,0.0006688126],"category_scores_gemma":[0.0004942109,0.000291449,0.0003392305,0.001273811,0.0005146715,0.000543891,0.0005484518,0.0001837998,0.0000684074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086118,"about_ca_system_score_gemma":0.001280318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08555058,"about_ca_topic_score_gemma":0.1964518,"domain_scores_codex":[0.9998393,0.00002326029,0.00001944056,0.00004394053,0.00002743371,0.0000465897],"domain_scores_gemma":[0.9995673,0.00008115658,0.0001039828,0.00001858645,0.00006539549,0.000163454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001179247,0.00002672934,0.9915731,0.00001991737,0.00008742543,0.0001638642,0.001000592,0.0001991254,0.005112835,0.00005709159,0.00005253177,0.001588945],"study_design_scores_gemma":[0.000002241017,0.00001160623,0.9992369,8.359523e-7,0.00001075846,0.00001982787,0.0003279741,0.0002856007,0.00006075816,0.00001720534,0.00002380708,0.000002547956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998864,0.0000196608,0.00001437593,0.000009167586,5.9028e-7,8.98681e-7,0.00002821242,9.777789e-7,0.00003965165],"genre_scores_gemma":[0.9998401,0.00001171769,0.00001953329,0.000004638701,0.000001181585,0.000001774367,0.00005034881,6.997249e-7,0.00007002169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08555058,"threshold_uncertainty_score":0.1701052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911170045093295,"score_gpt":0.2678603847215686,"score_spread":0.2487486842706356,"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."}}