{"id":"W4400688281","doi":"10.1002/smll.202400952","title":"Interfacial Membranization of Regenerated Cellulose Nanoparticles and a Protein Renders Stable Water‐in‐Water Emulsion","year":2024,"lang":"en","type":"article","venue":"Small","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Austrian Science Fund; European Commission; HORIZON EUROPE Reforming and enhancing the European Research and Innovation system; China Scholarship Council; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation","keywords":"Biopolymer; Bovine serum albumin; Pickering emulsion; Chemical engineering; Cellulose; Emulsion; Nanoparticle; Materials science; Aqueous solution; Colloid; Adsorption; Regenerated cellulose; Polymer chemistry; Polymer; Chemistry; Nanotechnology; Organic chemistry; Chromatography; Composite material","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":[0.0001774351,0.0002875013,0.0001333656,0.0001258711,0.0001005328,0.0003005665,0.0001631382,0.0002128742,0.0006271507],"category_scores_gemma":[0.0001778903,0.0001328791,0.0002295931,0.00007041122,0.0001854613,0.0002400263,0.0002352096,0.0002890492,0.0002382474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003998274,"about_ca_system_score_gemma":0.0002410521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008748686,"about_ca_topic_score_gemma":0.0009588115,"domain_scores_codex":[0.999908,0.00001107115,0.00000617048,0.00002043646,0.00002771971,0.00002658741],"domain_scores_gemma":[0.9999098,0.0000160717,0.00002904335,0.000007710732,0.00001351224,0.0000239164],"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":[0.00001519831,0.000005080514,0.0000208312,0.000008793767,0.000001647933,0.00002014457,0.000006863324,0.00005515059,0.9993973,0.00007185245,0.000008779345,0.0003883194],"study_design_scores_gemma":[0.000002795421,0.00002447394,0.0001803291,9.863928e-7,0.000002522035,0.00001758386,0.000003594996,0.0005147554,0.9988899,0.00001033437,0.0003513194,0.000001510887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923556,0.0004527351,0.005484885,0.00004758708,0.00002254147,0.00001384341,0.00005630084,0.0001025007,0.001463996],"genre_scores_gemma":[0.9956908,0.0001781594,0.002322552,0.00002631211,0.000004234334,0.000009635697,0.00005977001,0.00003287992,0.001675623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008748686,"threshold_uncertainty_score":0.002900958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806960219469126,"score_gpt":0.224959042850235,"score_spread":0.2068894406555438,"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."}}