{"id":"W4210352145","doi":"10.3390/polysaccharides3010010","title":"Chemical Stabilization behind Cardamom Pickering Emulsion Using Nanocellulose","year":2022,"lang":"en","type":"article","venue":"Polysaccharides","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Nanocellulose; Creaming; Pickering emulsion; Emulsion; Chemical engineering; Materials science; Scanning electron microscope; Cellulose; Nanofiber; Contact angle; Nanotechnology; Composite material","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":[],"category_scores_codex":[0.0003382716,0.0001470092,0.0001697713,0.00009510627,0.0005797916,0.00008365724,0.0002393659,0.00003763735,0.001473271],"category_scores_gemma":[0.00009921757,0.000152753,0.00006059406,0.0002394052,0.0000601238,0.0002609745,0.0003559204,0.0001205112,0.00003140167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120094,"about_ca_system_score_gemma":0.00004815648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002937488,"about_ca_topic_score_gemma":0.00001129555,"domain_scores_codex":[0.9984452,0.0001131539,0.0003151336,0.0003761024,0.0004093231,0.0003410493],"domain_scores_gemma":[0.9993594,0.00005749537,0.000117717,0.0003113319,0.00005583456,0.00009818027],"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":[0.0000272322,0.00006675905,0.002940302,0.00001505052,0.000002779701,0.00000410014,0.001035358,0.009991231,0.9850175,0.0001872337,0.00003975636,0.000672692],"study_design_scores_gemma":[0.0002608761,0.00003883177,0.0003940274,0.00001259712,0.00002166622,0.00002236519,0.0004529527,0.03837853,0.9592247,0.0003109386,0.0006473748,0.0002351679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952382,0.0001810403,0.003494319,0.0000624461,0.0005700851,0.0001833791,0.00003668568,0.0001586025,0.00007516955],"genre_scores_gemma":[0.9979741,0.000004508685,0.00171241,0.00005946062,0.00009590053,0.00003598533,0.00001827393,0.00003060009,0.00006875215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0283873,"threshold_uncertainty_score":0.9994395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630892889503977,"score_gpt":0.2530385684955126,"score_spread":0.2267296396004728,"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."}}