{"id":"W2605500065","doi":"10.1021/acssuschemeng.7b00415","title":"One-Pot Water-Based Hydrophobic Surface Modification of Cellulose Nanocrystals Using Plant Polyphenols","year":2017,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"CelluForce (Canada); McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University","keywords":"Contact angle; Chemical engineering; Dynamic light scattering; Surface modification; Cellulose; Hydrophobe; Fourier transform infrared spectroscopy; Alkyl; Chemistry; Zeta potential; Pickering emulsion; Materials science; Organic chemistry; Nanoparticle; Polymer chemistry; Emulsion","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":[0.0001189907,0.0004744125,0.0002612058,0.0001158677,0.0001394447,0.0001285484,0.0003290702,0.0002475494,0.0007219972],"category_scores_gemma":[0.00009239065,0.0001292098,0.0002109613,0.0001123356,0.0001388736,0.0002340956,0.0002094461,0.0003602701,0.0002733863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733816,"about_ca_system_score_gemma":0.000272619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118431,"about_ca_topic_score_gemma":0.002515413,"domain_scores_codex":[0.9999019,0.00001001146,0.000008095517,0.00003120729,0.00002809268,0.00002067296],"domain_scores_gemma":[0.999954,0.00000884692,0.00001353104,0.000007913345,0.000006654122,0.000008935545],"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":[0.00001300513,0.00001823423,0.00003015861,0.00003156147,0.000003227861,0.00003472357,0.000007129636,0.00008821622,0.9977323,0.00008705221,0.00002164181,0.001932864],"study_design_scores_gemma":[0.000003082955,0.00003447286,0.0002019732,0.000001005982,0.000002668851,0.00003322436,0.000002736311,0.0004577237,0.9987258,0.00001313944,0.0005213479,0.000002818194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336123,0.001588375,0.05834542,0.0001444876,0.00008041549,0.0001817335,0.0003805196,0.0003446857,0.005321992],"genre_scores_gemma":[0.9723167,0.0009739211,0.02244837,0.00005676819,0.00001098076,0.00009275432,0.0002283446,0.00004221245,0.003829829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00118431,"threshold_uncertainty_score":0.002415299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517347823067648,"score_gpt":0.2633263547664141,"score_spread":0.2381528765357377,"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."}}