{"id":"W3109374076","doi":"","title":"Pattern and cost of growth and nutrient deposition in fish and shrimp: Potential implications and applications","year":2000,"lang":"en","type":"article","venue":"Avances en Nutrición Acuicola","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Shrimp; Aquaculture; Fishery; Productivity; Litopenaeus; Fish farming; Environmental science; Fish <Actinopterygii>; Sustainability; Production (economics); Profitability index; Biology; Ecology; Business; Economics","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":[0.000512883,0.0003942737,0.0004334664,0.000681101,0.0001777755,0.0007403634,0.0005238625,0.0007108705,0.001859419],"category_scores_gemma":[0.002019763,0.0002091583,0.0003879472,0.001292603,0.000528974,0.0008086783,0.0003663047,0.0002250631,0.0001339843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006051,"about_ca_system_score_gemma":0.000477157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008164041,"about_ca_topic_score_gemma":0.008264568,"domain_scores_codex":[0.9998491,0.00005031297,0.00001142536,0.00003301994,0.000043683,0.00001249323],"domain_scores_gemma":[0.9992757,0.0004320235,0.0001239025,0.00005019941,0.00007217404,0.00004592967],"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":[0.0007146208,0.0003595312,0.2966476,0.0005327017,0.0001492917,0.0007870889,0.0001886706,0.4933457,0.03300658,0.01208017,0.0006761359,0.1615118],"study_design_scores_gemma":[0.00002904578,0.0003434313,0.2581549,0.00005503895,0.00006520199,0.0006242807,0.0005322066,0.7023403,0.008391002,0.02761171,0.001781753,0.0000710176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711782,0.003309477,0.0194457,0.0008238505,0.00002875888,0.00002144025,0.0004072141,0.00006736244,0.004717997],"genre_scores_gemma":[0.9907261,0.002181291,0.005341832,0.00001972861,0.00001676427,0.00001285787,0.0001161599,0.00001250104,0.00157266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008164041,"threshold_uncertainty_score":0.01623303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006792101849607443,"score_gpt":0.2156794634310078,"score_spread":0.2088873615814004,"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."}}