{"id":"W2045523050","doi":"10.1016/j.biomaterials.2005.03.011","title":"Chitosan/β-lactoglobulin core–shell nanoparticles as nutraceutical carriers","year":2005,"lang":"en","type":"article","venue":"Biomaterials","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Nanoparticle; Chitosan; Zeta potential; Materials science; Chemical engineering; Nutraceutical; Adsorption; Surface charge; Ionic bonding; Ionic strength; Nuclear chemistry; Aqueous solution; Nanotechnology; Chemistry; Organic chemistry; Ion; Biochemistry; Physical 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003179157,0.0001932359,0.0002735121,0.00001104621,0.0001715437,0.0001512846,0.0003514425,0.0001795902,0.001514788],"category_scores_gemma":[0.00009477772,0.00007454964,0.00008674238,0.0001498882,0.0001149884,0.000132427,0.00009464098,0.00001643834,0.001446103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968454,"about_ca_system_score_gemma":0.00001159041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002009409,"about_ca_topic_score_gemma":0.00007774714,"domain_scores_codex":[0.9983961,0.0001253585,0.0004155995,0.0003466796,0.0002719542,0.000444318],"domain_scores_gemma":[0.9994736,0.00007102358,0.0001110931,0.0001123598,0.00002456251,0.0002073122],"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":[0.00005534048,0.00006312225,0.0004679841,0.000006553258,0.00001294493,0.000006444817,0.00004471891,4.944708e-7,0.9887233,0.0007875176,0.00034383,0.009487723],"study_design_scores_gemma":[0.0001403241,0.0001919639,0.005431636,0.00001858489,0.000009092562,0.00003238753,0.00008172001,0.000008231291,0.9230528,0.0002228293,0.07060189,0.0002085705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945862,0.0002500864,2.347893e-7,0.001379205,0.0005761714,0.0003868242,0.0000867073,0.0002335951,0.002500943],"genre_scores_gemma":[0.9980807,0.00001284805,0.000154077,0.0002979316,0.001241102,0.00004457128,0.00002725303,0.000002147748,0.0001393378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07025806,"threshold_uncertainty_score":0.9993979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445896800467625,"score_gpt":0.2708078280359875,"score_spread":0.226218147989225,"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."}}