{"id":"W2159824336","doi":"10.1007/s11538-014-0006-z","title":"Dynamics of a Producer–Grazer Model Incorporating the Effects of Excess Food Nutrient Content on Grazer’s Growth","year":2014,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Ecological stoichiometry; Nutrient; Daphnia; Population; Functional response; Ecology; Food web; Phosphorus; Environmental science; Algae; Biology; Ecosystem; Chemistry; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006733102,0.0006341206,0.001166007,0.0004936706,0.0009166839,0.001755194,0.00183827,0.003711701,0.007678864],"category_scores_gemma":[0.001714233,0.0006639583,0.0008076401,0.000414376,0.001438281,0.001784246,0.001306201,0.0015432,0.0005961799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133053,"about_ca_system_score_gemma":0.001370244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205023,"about_ca_topic_score_gemma":0.01194229,"domain_scores_codex":[0.9998083,0.00006397819,0.000008382322,0.00004487874,0.00002023168,0.00005434691],"domain_scores_gemma":[0.9991366,0.0003415991,0.0001315313,0.0000406742,0.00009707022,0.0002525181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002104407,0.0001045942,0.002794703,0.00006879576,0.00007444861,0.0005983532,0.0001862557,0.936115,0.005670502,0.05002273,0.00195994,0.002194204],"study_design_scores_gemma":[0.00004054469,0.00003526782,0.0005454766,0.000005137688,0.00002033835,0.00003605095,0.00003625461,0.9946255,0.0001296872,0.004139992,0.0003686945,0.00001705989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518938,0.0006008383,0.09881061,0.004662874,0.0002126839,0.00007976064,0.001006478,0.000383836,0.04234914],"genre_scores_gemma":[0.9792184,0.0001915484,0.00345706,0.0001371997,0.00003198769,0.00005555535,0.0001377707,0.0000478529,0.01672255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02205023,"threshold_uncertainty_score":0.04384375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274775009868446,"score_gpt":0.2084585594016214,"score_spread":0.195710809302937,"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."}}