{"id":"W4247939325","doi":"10.1139/f00-153","title":"Reconstructing trophic interactions as a tool for understanding and managing ecosystems: application to a shallow eutrophic lake","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lake ecosystem; Biomanipulation; Trophic level; Eutrophication; Ecosystem; Food web; Environmental science; Ecology; Trophic cascade; Computer science; Nutrient; 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":[0.0004386243,0.0003490524,0.0002200207,0.0005667047,0.0003866848,0.0004244142,0.0002790691,0.0002865531,0.000961637],"category_scores_gemma":[0.001952407,0.0001364266,0.0002647442,0.0004878948,0.0004715651,0.000413466,0.0004674207,0.0002647056,0.00004404892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007323801,"about_ca_system_score_gemma":0.0006565633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459522,"about_ca_topic_score_gemma":0.02626209,"domain_scores_codex":[0.999948,0.0000265206,0.000004335658,0.00000829376,0.000009409577,0.000003442355],"domain_scores_gemma":[0.9994084,0.0004611966,0.00004449407,0.00002560834,0.00003541147,0.0000249929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009337417,0.00005206228,0.01503537,0.0001253948,0.00004103794,0.0002470483,0.0006328683,0.8992109,0.008042697,0.00539342,0.000152216,0.07097352],"study_design_scores_gemma":[0.00001242761,0.00005964896,0.002945873,0.000008990594,0.0000125021,0.00003944488,0.0001485655,0.9902949,0.001221042,0.004934685,0.0003104339,0.00001155012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7442824,0.0001477809,0.252988,0.0003174149,0.00001088104,0.00006505975,0.000298818,0.0004133102,0.001476261],"genre_scores_gemma":[0.8584372,0.0001840085,0.1406877,0.0000196396,0.000003483397,0.00003819797,0.0001392572,0.00002403562,0.0004665619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02459522,"threshold_uncertainty_score":0.04890412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932328647860477,"score_gpt":0.2256510750525966,"score_spread":0.2063277885739918,"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."}}