{"id":"W4386837527","doi":"10.1007/s10499-023-01278-2","title":"Use of mixtures of algal and vegetable oils as fish oil replacers in Asian seabass (Lates calcarifer) feeds and their effects on growth, digestive enzymes, immune biomarkers, fatty acid profiles, and expression of genes involved in fatty acid biosynthesis","year":2023,"lang":"en","type":"article","venue":"Aquaculture International","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biology; Feed conversion ratio; Lates; Fish oil; Food science; Weight gain; Protein efficiency ratio; Animal science; Digestive enzyme; Aquaculture; Fishery; Biotechnology; Fish <Actinopterygii>; Biochemistry; Body weight; Enzyme; Lipase","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":[0.0002356797,0.0002336209,0.0003827819,0.0001060304,0.00005666639,0.00004000695,0.0001607329,0.0002318232,0.0000151253],"category_scores_gemma":[0.0003589461,0.0001035034,0.00007524117,0.0003951452,0.0001940701,0.0002584288,0.0001256032,0.0001547523,5.983641e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002532328,"about_ca_system_score_gemma":0.000009436999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007087022,"about_ca_topic_score_gemma":0.0004654944,"domain_scores_codex":[0.9986319,0.0001679899,0.0003890499,0.0003767728,0.0002427945,0.0001914845],"domain_scores_gemma":[0.9990652,0.0004372162,0.0002292014,0.00005895453,0.0001348552,0.00007459527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003471968,0.0001086637,0.1045795,0.0001054737,0.00005714097,0.000007460889,0.000648539,6.452146e-7,0.8869283,0.0001952371,0.0002033322,0.00681846],"study_design_scores_gemma":[0.0003946048,0.0001264251,0.3541337,0.0004142762,0.000007722909,0.000004456098,0.0005512352,0.00002898465,0.6439369,0.0001754018,0.0001152063,0.0001111278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964677,0.001149131,0.000001318459,0.001630416,0.0000457491,0.0001971704,0.000362003,0.00002329124,0.0001232131],"genre_scores_gemma":[0.9983822,0.0008985529,0.0002182183,0.00007831723,0.00003919439,0.0000281315,0.0003187451,0.000003029257,0.0000336285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495541,"threshold_uncertainty_score":0.4220745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478342130757401,"score_gpt":0.2221233555788517,"score_spread":0.2073399342712777,"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."}}