{"id":"W2607244615","doi":"10.1016/j.carbpol.2017.04.024","title":"Enhanced emulsifying properties of wood-based cellulose nanocrystals as Pickering emulsion stabilizer","year":2017,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates Bio Solutions; Alberta-Pacific Forest Industries; China Scholarship Council; Canada Foundation for Innovation; Canada Research Chairs; Alberta Crop Industry Development Fund","keywords":"Pickering emulsion; Stabilizer (aeronautics); Cellulose; Thermal stability; Emulsion; Chemical engineering; Materials science; Nanocrystal; Nanomaterials; Pulmonary surfactant; Nanotechnology","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":[0.0001864077,0.0002166895,0.0001566606,0.0001423995,0.00009521395,0.0001973818,0.0001392692,0.0001916929,0.0006562143],"category_scores_gemma":[0.0002021422,0.00008744185,0.0001564334,0.0000990414,0.00009515641,0.0002294094,0.0001045615,0.0002526418,0.0001763828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449399,"about_ca_system_score_gemma":0.0001458299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015553,"about_ca_topic_score_gemma":0.0014828,"domain_scores_codex":[0.9999179,0.00001127949,0.000006307722,0.00001961495,0.00002312637,0.00002176912],"domain_scores_gemma":[0.9999208,0.00002122515,0.00001827527,0.00000550947,0.00002054146,0.00001361894],"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":[0.00005581632,0.00001111507,0.00005801494,0.00001748619,0.00000264174,0.00002040241,0.000009210532,0.00007768664,0.9984567,0.00006832644,0.00002286341,0.001199666],"study_design_scores_gemma":[0.000002830319,0.0000404695,0.0002832118,8.154444e-7,0.000003703262,0.00001001303,0.000003412923,0.0006514333,0.9987826,0.00000464091,0.0002152341,0.000001704274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965592,0.0007918524,0.001546922,0.00002226922,0.00001417333,0.000007951108,0.00005126296,0.0000247633,0.0009816302],"genre_scores_gemma":[0.9966702,0.0004266308,0.001367318,0.00001691297,0.000004692411,0.000006492804,0.00006014769,0.0000134942,0.00143428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001015553,"threshold_uncertainty_score":0.002195239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948920997847183,"score_gpt":0.2641631473954983,"score_spread":0.2346739374170265,"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."}}