{"id":"W2060184321","doi":"10.1016/j.foodhyd.2008.12.006","title":"Soy protein cold-set hydrogels as controlled delivery devices for nutraceutical compounds","year":2008,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Riboflavin; Chemistry; Self-healing hydrogels; Soy protein; Pepsin; Dissolution; Swelling; Rheology; Proteases; Chemical engineering; Whey protein isolate; Chromatography; Whey protein; Food science; Biochemistry; Enzyme; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005814165,0.0004094176,0.0008294078,0.00003769748,0.0008590075,0.0001131848,0.0007235136,0.000359703,0.0001321413],"category_scores_gemma":[0.0001515334,0.0001814561,0.000455175,0.0003841855,0.0002038695,0.0002481482,0.0001355561,0.0002358547,0.0002393435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044942,"about_ca_system_score_gemma":0.00007020155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001432948,"about_ca_topic_score_gemma":0.0005289133,"domain_scores_codex":[0.9970155,0.0002097832,0.0007150233,0.0006686167,0.0006045736,0.0007864687],"domain_scores_gemma":[0.9985972,0.0004634682,0.000266522,0.0001798801,0.000186575,0.00030634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00157643,0.0006034155,0.001332484,0.00007640141,0.0003127784,0.00002924002,0.0001714336,0.00001517939,0.9877925,0.004024516,0.00257576,0.001489882],"study_design_scores_gemma":[0.01360598,0.0155477,0.00216446,0.0002664322,0.0001578224,0.0002927443,0.0006388402,0.001390323,0.3087415,0.003622576,0.6516179,0.001953725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863797,0.0005845499,0.0000220168,0.000818605,0.0001933585,0.0075322,0.00020704,0.0002938452,0.003968626],"genre_scores_gemma":[0.9926534,0.000008773768,0.0002624055,0.0004305227,0.0006788929,0.003967639,0.00006720797,0.000006943948,0.001924264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679051,"threshold_uncertainty_score":0.7399566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485629833561755,"score_gpt":0.2528114528134293,"score_spread":0.2042484694572538,"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."}}