{"id":"W1858446201","doi":"10.1111/j.1365-2427.2010.02491.x","title":"Empirical models for predicting the excretion of nutrients (N and P) by aquatic metazoans: taxonomic differences in rates and element ratios","year":2010,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Zooplankton; Excretion; Biology; Nutrient; Benthic zone; Ecology; Limnetic zone; Allometry; Hydrobiology; Invertebrate; Animal science; Environmental chemistry; Zoology; Chemistry; Littoral zone; Biochemistry; Aquatic environment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335606,0.00007865777,0.0001416805,0.00001795335,0.00007601065,0.000007050981,0.00009005204,0.00009565411,0.0002970521],"category_scores_gemma":[0.00003102979,0.00004623096,0.00001333351,0.00002819624,0.0003864139,0.00007442196,0.00007229394,0.00008948155,0.000005630421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001039753,"about_ca_system_score_gemma":0.000004855374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002099314,"about_ca_topic_score_gemma":0.003380719,"domain_scores_codex":[0.999335,0.00008340211,0.0002065025,0.000189105,0.00003245421,0.0001535424],"domain_scores_gemma":[0.9996734,0.0001506995,0.00007047939,0.0000785279,0.000002973598,0.00002386542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001972353,0.00004335142,0.9472289,0.000003935847,0.0000065609,9.413156e-8,0.0004653647,0.000004253778,0.0510957,0.00008522159,0.0005876372,0.0004592424],"study_design_scores_gemma":[0.002830354,0.001192145,0.4745626,0.00001703271,0.0001259216,0.000009371142,0.0007931525,0.4129578,0.06523383,0.0395775,0.00228496,0.0004153176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963995,0.0000289757,0.002570633,0.0004369745,0.00008539029,0.0004152135,0.00003396364,0.000004129282,0.00002517193],"genre_scores_gemma":[0.998546,0.00001543487,0.001101138,0.0001128402,0.00001143138,0.0001366969,0.00002601856,0.000003115211,0.00004730471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4726663,"threshold_uncertainty_score":0.3252513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283621109456418,"score_gpt":0.2651429347916667,"score_spread":0.2367808238460249,"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."}}