{"id":"W3013847597","doi":"10.221751/rmc2018.060","title":"Incorporation of β-Glucans in Meat Emulsions through Modeling Systems","year":2018,"lang":"en","type":"article","venue":"Meat and Muscle Biology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food science; Syneresis; Emulsion; Chemistry; Ingredient; Lean meat; Carrageenan; Starch; Fiber; Mathematics; Biochemistry; Organic chemistry","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":[0.0005642796,0.0005991523,0.0003162801,0.0002067451,0.0001464327,0.0004210526,0.0003858044,0.0002632524,0.0009376321],"category_scores_gemma":[0.0005031,0.0002589073,0.0005427602,0.0001674449,0.0001465782,0.0003227234,0.0003602703,0.0003755957,0.0001861468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323442,"about_ca_system_score_gemma":0.0003187435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008077218,"about_ca_topic_score_gemma":0.0007776839,"domain_scores_codex":[0.9997556,0.0000630096,0.00001752464,0.00006652151,0.0000755025,0.00002181946],"domain_scores_gemma":[0.9998298,0.00005879298,0.00005742589,0.00001565443,0.00003017078,0.000008103197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000438485,0.0002923737,0.001330101,0.0003214806,0.00005347156,0.00007870559,0.00007723689,0.1037085,0.8697605,0.002018786,0.0001629663,0.02175755],"study_design_scores_gemma":[0.00007531386,0.001955867,0.001501019,0.0000228217,0.00009224709,0.00005121726,0.00003495745,0.4988075,0.4917422,0.0008087168,0.004878968,0.00002915562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7349826,0.0007855266,0.2596044,0.00007860928,0.00004292617,0.000284902,0.0002899605,0.0004297512,0.003501297],"genre_scores_gemma":[0.8735635,0.001113164,0.1219778,0.00003775172,0.000009582252,0.0005198226,0.0003326673,0.00007097963,0.002374827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009376321,"threshold_uncertainty_score":0.003136694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0811210164773957,"score_gpt":0.2836003539861535,"score_spread":0.2024793375087578,"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."}}