{"id":"W310872838","doi":"10.1016/j.aquaculture.2015.05.010","title":"Influence of feeding a high plant protein diet on growth and nutrient utilization to combined ‘all-fish’ growth-hormone transgenic diploid and triploid Atlantic salmon (Salmo salar L.)","year":2015,"lang":"en","type":"article","venue":"Aquaculture","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Innovation PEI","keywords":"Biology; Salmo; Fish meal; Animal science; Feed conversion ratio; Weight gain; Meal; Food science; Fishery; Fish <Actinopterygii>; Endocrinology; Body weight","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":[0.0001240664,0.00026192,0.0002455459,0.0001252867,0.0001027901,0.0002768518,0.0001891254,0.0001930112,0.001006911],"category_scores_gemma":[0.0001811946,0.0001464542,0.0001596796,0.00006427729,0.000261882,0.0001862704,0.0003100652,0.0004395642,0.0001778002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727167,"about_ca_system_score_gemma":0.0003052534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798873,"about_ca_topic_score_gemma":0.004320635,"domain_scores_codex":[0.9998777,0.00002084745,0.0000118339,0.00003707589,0.00002569583,0.00002688043],"domain_scores_gemma":[0.9997643,0.00002955272,0.00005111703,0.00002000478,0.00002300769,0.0001120178],"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":[0.0009977943,0.00006278,0.00102198,0.0000194384,0.000009650918,0.00003398089,0.00002273706,0.00002468019,0.9970639,0.00001103433,0.00001384308,0.0007181258],"study_design_scores_gemma":[0.0001390039,0.01151018,0.1102936,0.00001623575,0.0001284102,0.0004352521,0.000422558,0.001612067,0.8731692,0.00007812807,0.002157842,0.00003764676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996719,0.00005117972,0.00009619444,0.00001314928,0.000004297171,0.000003778346,0.00003785796,0.000004425704,0.0001171482],"genre_scores_gemma":[0.997924,0.0001147869,0.0005124906,0.00005933917,0.000003260798,0.00001823222,0.0002204236,0.00001241992,0.001135076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798873,"threshold_uncertainty_score":0.003576815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167870544797252,"score_gpt":0.2350509987989169,"score_spread":0.2182639443191917,"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."}}