{"id":"W3116473265","doi":"10.1093/biosci/biaa099","title":"Evaluating Trophic Status as a Proxy of Aquatic Ecosystem Service Provisioning on the Basis of Guidelines","year":2020,"lang":"en","type":"article","venue":"BioScience","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie","keywords":"Provisioning; Ecosystem services; Trophic level; Aquatic ecosystem; Ecosystem; Environmental resource management; Wildlife; Environmental science; Productivity; Livestock; Water quality; Ecosystem health; Ecology; Business; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006265297,0.0001010315,0.000137662,0.00002116444,0.0001109833,0.00001866249,0.0004680423,0.00002566653,0.00004824145],"category_scores_gemma":[0.0008848807,0.0000602305,0.00003964061,0.0007990864,0.00009430351,0.0001137505,0.0002116062,0.000060104,0.00008753884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000430527,"about_ca_system_score_gemma":0.0000485053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000361998,"about_ca_topic_score_gemma":0.00001389067,"domain_scores_codex":[0.9983116,0.00008772792,0.0003695269,0.0002965243,0.0007177936,0.0002167921],"domain_scores_gemma":[0.9992756,0.0001211263,0.0002365411,0.0002446581,0.0000385177,0.00008356763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001779756,0.0002739777,0.6687235,0.0003601871,0.00001848352,0.000005104499,0.01242928,0.04603645,0.2402722,0.0007998537,0.0002423265,0.03066074],"study_design_scores_gemma":[0.0002263149,0.0005993115,0.008863434,0.0001556872,0.00001378059,0.000001624894,0.0006476092,0.9628965,0.02561284,0.0006332605,0.0002239633,0.0001256216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951044,0.00001327722,0.0001414023,0.003953309,0.00006257259,0.000328865,0.000008696417,0.00001763618,0.0003698334],"genre_scores_gemma":[0.9968084,0.000006497256,0.00218116,0.0009551979,0.00001571121,0.00001259405,8.202603e-7,0.000006280467,0.00001339949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9168601,"threshold_uncertainty_score":0.2456129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08923244584511895,"score_gpt":0.3185672039427119,"score_spread":0.2293347580975929,"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."}}