{"id":"W2921685422","doi":"10.1016/j.meatsci.2019.03.012","title":"Replacing starch in beef emulsion models with β-glucan, microcrystalline cellulose, or a combination of β-glucan and microcrystalline cellulose","year":2019,"lang":"en","type":"article","venue":"Meat Science","topic":"Food composition and properties","field":"Nursing","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Microcrystalline cellulose; Starch; Chewiness; Food science; Emulsion; Glucan; Chemistry; Cellulose; Polysaccharide; Composition (language); Amylose; Microcrystalline; Biochemistry","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":[0.0002501579,0.0002668183,0.000208259,0.0001743979,0.00009131653,0.0002493411,0.0002490681,0.0002377921,0.001167542],"category_scores_gemma":[0.0002585472,0.00008807595,0.0002838162,0.0001357542,0.000141815,0.0003224045,0.0001778697,0.0003276661,0.0001583276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895773,"about_ca_system_score_gemma":0.0002558439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283358,"about_ca_topic_score_gemma":0.00127089,"domain_scores_codex":[0.9999034,0.00001588687,0.000008950173,0.00002897163,0.00002001924,0.00002267591],"domain_scores_gemma":[0.999891,0.00002309397,0.00003074494,0.000008829978,0.00001300805,0.0000332933],"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":[0.003721446,0.0003254664,0.0003657026,0.0001173761,0.00003034535,0.00008173469,0.00002295464,0.0001791238,0.9873974,0.00007928634,0.00005680347,0.007622414],"study_design_scores_gemma":[0.0001194845,0.006714328,0.001079681,0.0000189612,0.000142597,0.0001476622,0.00003537591,0.0009453864,0.9895852,0.00002810538,0.001175034,0.000008136576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979589,0.000668657,0.0008588887,0.0000220599,0.00006249064,0.00002073756,0.00003345741,0.0000218171,0.000352947],"genre_scores_gemma":[0.9959765,0.0006376495,0.002109312,0.00003351863,0.000009269625,0.00001082898,0.00006892606,0.0000154278,0.001138588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283358,"threshold_uncertainty_score":0.003905773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799304301918668,"score_gpt":0.2436405018767089,"score_spread":0.2256474588575222,"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."}}