{"id":"W2114095083","doi":"10.5539/jfr.v1n3p230","title":"Twin-screw Extrusion Processing of Vegetable-based Protein Feeds for Yellow Perch (Perca flavescens) Containing Distillers Dried Grains, Soy Protein Concentrate, and Fermented High Protein Soybean Meal","year":2012,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; South Dakota State University; U.S. Department of Agriculture","keywords":"Soybean meal; Perch; Soy protein; Food science; Distillers grains; Fish meal; Chemistry; Extrusion; Animal science; Biology; Materials science; Fish <Actinopterygii>; Fishery; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002286555,0.0003939354,0.0004198253,0.0002821196,0.0002089899,0.0003114933,0.000336565,0.0001908252,0.0009591911],"category_scores_gemma":[0.0001796936,0.0002215437,0.0003871366,0.0004053471,0.0001891512,0.000303982,0.0003146434,0.0003484913,0.000184324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004855519,"about_ca_system_score_gemma":0.000415339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003283007,"about_ca_topic_score_gemma":0.01050589,"domain_scores_codex":[0.9997852,0.00001670082,0.00002708268,0.0000796128,0.0000587838,0.0000325927],"domain_scores_gemma":[0.9998592,0.00002276776,0.00005172667,0.000009693031,0.00002913776,0.00002749185],"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":[0.0009625297,0.0001386713,0.0007539982,0.00007817151,0.00001499445,0.00004907455,0.00002603016,0.00009089943,0.9957696,0.00002531937,0.00001695976,0.002073754],"study_design_scores_gemma":[0.00004989307,0.003297895,0.02142406,0.00001372516,0.00006228391,0.0000695999,0.00006626497,0.0007089106,0.9735353,0.00001076808,0.0007485771,0.00001269772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986696,0.0001145126,0.0006252468,0.000004795999,0.000007313152,0.00004082821,0.0001967948,0.00001142388,0.0003295856],"genre_scores_gemma":[0.9856997,0.0005454065,0.008613013,0.00002464526,0.000004844861,0.00008527525,0.00112462,0.00002936731,0.003873219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003283007,"threshold_uncertainty_score":0.006527781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07043053697994515,"score_gpt":0.3065612990007338,"score_spread":0.2361307620207886,"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."}}