{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006850022,0.0001140167,0.0001621485,0.00002682969,0.0001459767,0.0000517666,0.00006664955,0.00008634531,0.00002467222],"category_scores_gemma":[0.000007181112,0.0000584591,0.00001831309,0.0002498344,0.0001248867,0.0001728565,0.00003602903,0.00008557606,9.813804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008210726,"about_ca_system_score_gemma":0.000002250554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001955952,"about_ca_topic_score_gemma":0.0003723275,"domain_scores_codex":[0.9992445,0.00004680181,0.0002015961,0.0002803404,0.00008319668,0.0001435468],"domain_scores_gemma":[0.9996569,0.0001196723,0.00006262799,0.00003657791,0.00003143831,0.00009285201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008587423,0.0005510427,0.1669535,0.0001375961,0.0000216706,0.000003626265,0.0003630783,0.000001365263,0.1305402,0.002596116,0.0006391167,0.6981069],"study_design_scores_gemma":[0.000729735,0.0001739854,0.9860392,0.00004152317,0.00002454473,0.00005427924,0.0002437585,0.0000743061,0.002730277,0.003000009,0.006700657,0.0001877271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945661,0.0008951711,0.0001373554,0.003264853,0.000006442518,0.0005825132,0.0001301585,0.00002212656,0.0003952339],"genre_scores_gemma":[0.9907497,0.008355862,0.0001147134,0.0004802279,0.00007592168,0.0001346224,0.00006321976,0.00000120448,0.00002451887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8190857,"threshold_uncertainty_score":0.2383893,"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."}}