{"id":"W4412644007","doi":"10.1002/smll.202501435","title":"High‐Resolution AFM Visualization of Nanocellulose Surface Grafting with Small Molecules","year":2025,"lang":"en","type":"article","venue":"Small","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs; Ministry of Education, Culture, Sports, Science and Technology; Canada Foundation for Innovation","keywords":"Nanocellulose; Surface modification; Grafting; Materials science; Molecule; Nanotechnology; Covalent bond; Cyclodextrin; Chemical engineering; Epichlorohydrin; Cellulose; Polymer chemistry; Chemistry; Polymer; Organic chemistry; 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":[0.0001055335,0.000282557,0.0001294778,0.0002351838,0.000146065,0.0001688743,0.0002365716,0.000372559,0.001324424],"category_scores_gemma":[0.0001540687,0.00009710624,0.00009353561,0.00009903178,0.0001245211,0.0001992202,0.0001447743,0.0004579984,0.0002503003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018227,"about_ca_system_score_gemma":0.0001141824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008459287,"about_ca_topic_score_gemma":0.00116562,"domain_scores_codex":[0.9999374,0.000007399663,0.000003292087,0.00001644843,0.00001922739,0.000016207],"domain_scores_gemma":[0.9998802,0.00005527094,0.00001743044,0.00001251568,0.00001876584,0.00001590232],"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":[0.000005751364,0.000003121019,0.00003895056,0.000007124094,7.57986e-7,0.0000108061,0.000003412214,0.00002036377,0.9991544,0.00002885784,0.00002147457,0.0007049868],"study_design_scores_gemma":[0.000004371455,0.00003680066,0.002494006,0.000003466367,0.000004759355,0.0001263457,0.00001778864,0.004354436,0.9918504,0.00005615745,0.001047107,0.000004277234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545705,0.001456819,0.03818705,0.00026355,0.00007201805,0.0000318162,0.000522342,0.000550847,0.004344995],"genre_scores_gemma":[0.9511054,0.0007315269,0.04525592,0.0000970671,0.00002486723,0.00003550579,0.0002836044,0.00003656571,0.002429556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001324424,"threshold_uncertainty_score":0.004430592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179783517712191,"score_gpt":0.2776938118990029,"score_spread":0.255895976721881,"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."}}