{"id":"W4414804130","doi":"10.2139/ssrn.5558038","title":"High-Moisture Extrusion Modifies Texture and Improves Nutritional Value of Sunflower Meal-Pea Protein Meat Analogues","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sunflower; Extrusion; Phytic acid; Protein quality; Moisture; Food quality; Texture (cosmology); Meal; Food products; Food industry","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":[0.0001299799,0.0002365624,0.000200666,0.0001173682,0.0001007329,0.0002001691,0.0001428253,0.0002273497,0.002201668],"category_scores_gemma":[0.00009696633,0.00009154444,0.0002166903,0.00009767507,0.0001593723,0.0002222764,0.0001550943,0.0003860201,0.00015517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132281,"about_ca_system_score_gemma":0.00005267729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002442116,"about_ca_topic_score_gemma":0.0002912726,"domain_scores_codex":[0.9999341,0.00001281976,0.000003415821,0.00001854471,0.00001048393,0.00002056726],"domain_scores_gemma":[0.9999316,0.00001537084,0.00002183288,0.00000472034,0.000004632189,0.00002180998],"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":[0.001151373,0.00005201766,0.0001599998,0.00002130271,0.000007355775,0.00002883304,0.000008810463,0.00002498604,0.9975841,0.00002362506,0.00001256655,0.0009249754],"study_design_scores_gemma":[0.00004596378,0.0008609724,0.008575112,0.000005853578,0.00002097759,0.0001033742,0.0000238174,0.0002160271,0.9892831,0.00002623159,0.0008335946,0.000004920777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990574,0.0002915848,0.0003261039,0.00001573637,0.000008924596,0.000002790288,0.0000530139,0.000007865819,0.0002365999],"genre_scores_gemma":[0.9980293,0.0001631512,0.0004225314,0.00002800472,0.000004746071,0.000002891153,0.0001727449,0.00001784569,0.001158818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002201668,"threshold_uncertainty_score":0.007365346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072017974180993,"score_gpt":0.2224010860556459,"score_spread":0.211680906313836,"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."}}