{"id":"W2072890050","doi":"10.1021/bm900989y","title":"Elaboration and Characterization of Soy/Zein Protein Microspheres for Controlled Nutraceutical Delivery","year":2009,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Nutraceutical; Soy protein; Chemistry; Swelling; Kinetics; Whey protein; Controlled release; Whey protein isolate; Chemical engineering; Crystallinity; Chromatography; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002342017,0.0002903186,0.0001990081,0.0001616252,0.0001081522,0.0001855116,0.00009584149,0.0002077137,0.0003252442],"category_scores_gemma":[0.0002347369,0.0001574906,0.000185189,0.0001408905,0.0001625077,0.0002302932,0.0001222931,0.0002169243,0.000166278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761697,"about_ca_system_score_gemma":0.0001683648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006229728,"about_ca_topic_score_gemma":0.0007550518,"domain_scores_codex":[0.9999225,0.00001121164,0.000008635103,0.00001635766,0.00002692712,0.0000144294],"domain_scores_gemma":[0.9998747,0.00002873965,0.00004195959,0.000008603291,0.00002734558,0.00001869329],"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":[0.00001507248,0.00000303575,0.00004991123,0.00001004233,0.000001212212,0.000008133492,0.000004651393,0.00004643431,0.9993988,0.00001565665,0.000003219321,0.0004437819],"study_design_scores_gemma":[0.000007812743,0.0001260397,0.001575346,0.000001898502,0.000008933825,0.00005156357,0.000005899916,0.0005990721,0.9968111,0.00001573991,0.0007936182,0.000002867065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735216,0.001445152,0.02394847,0.00005144453,0.00001238801,0.0001072034,0.0002518992,0.00007442773,0.0005872872],"genre_scores_gemma":[0.9737506,0.0008835442,0.02369013,0.0000228721,0.000008823042,0.00009118899,0.0004388191,0.00004326607,0.001070679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006229728,"threshold_uncertainty_score":0.001278281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333322635635026,"score_gpt":0.2249632534055644,"score_spread":0.2116300270492141,"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."}}