{"id":"W1495640613","doi":"10.1111/fwb.12650","title":"Ecological sensitivity of marl lakes to nutrient enrichment: evidence from Hawes Water, UK","year":2015,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Environment Research Council; Natural England","keywords":"Macrophyte; Eutrophication; Benthic zone; Ecology; Littoral zone; Thalassia testudinum; Lake ecosystem; Environmental science; Aquatic plant; Phytoplankton; Oceanography; Biology; Ecosystem; Nutrient; Geology; Seagrass","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":[0.0004688668,0.0001744345,0.0002162876,0.0008059354,0.0006444234,0.0006471114,0.0003426095,0.0003350599,0.001267497],"category_scores_gemma":[0.001264123,0.0002430935,0.0001528136,0.001009892,0.001150323,0.0004159031,0.0009830147,0.000255652,0.0001508396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052932,"about_ca_system_score_gemma":0.0006146104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1641482,"about_ca_topic_score_gemma":0.3835971,"domain_scores_codex":[0.9996073,0.00007951046,0.00003048705,0.0001087754,0.00008699815,0.00008702862],"domain_scores_gemma":[0.9983053,0.000241592,0.0007694337,0.0001015736,0.0003580377,0.000224021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001215544,0.00002136894,0.9891514,0.00005653342,0.00003943602,0.0004817286,0.003525295,0.00004458292,0.002288891,0.00005016476,0.0002847743,0.003934275],"study_design_scores_gemma":[0.000001598072,0.00001394151,0.9988986,0.000005939228,0.000003174295,0.00005437,0.000708918,0.00002049574,0.00003815217,0.000005253802,0.0002479471,0.000001648814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988723,0.0001557917,0.00002114797,0.0000623296,0.00000209721,0.000004660991,0.0001481516,0.000001334697,0.000732119],"genre_scores_gemma":[0.9993429,0.0001164078,0.00004371196,0.00006357796,0.000004087969,0.000008322588,0.0001342482,0.000001971655,0.0002848193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641482,"threshold_uncertainty_score":0.3263854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699462845340952,"score_gpt":0.2487594257800396,"score_spread":0.2217647973266301,"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."}}