{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003901595,0.0001636975,0.0002527531,0.00009850316,0.0001692863,0.00003338346,0.0002250339,0.0000564058,0.00003436625],"category_scores_gemma":[0.0002027169,0.0001351497,0.00003747112,0.0004437725,0.0002110648,0.00009522351,0.0001938527,0.00007161529,0.00002246172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008056786,"about_ca_system_score_gemma":0.0001051221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002510359,"about_ca_topic_score_gemma":0.000214069,"domain_scores_codex":[0.9986088,0.0001291509,0.0002876904,0.0003455018,0.00025224,0.0003766701],"domain_scores_gemma":[0.9990917,0.0001529555,0.0001518765,0.000272859,0.0002814053,0.00004916839],"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":[0.0001118524,0.00007851329,0.001228281,0.0002296633,0.00002424962,0.000008774389,0.0002091217,0.01067533,0.9704719,0.01640783,0.00004285708,0.0005116123],"study_design_scores_gemma":[0.0005752612,0.0001413268,0.001203033,0.0002180239,0.00002871778,0.00000124032,0.0002330615,0.001405942,0.9938857,0.001640725,0.0004936696,0.000173321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512162,0.0007681233,0.1458018,0.0001332966,0.0001221568,0.0002722295,0.00001198575,0.00009741064,0.001576749],"genre_scores_gemma":[0.9574991,0.000117842,0.0410746,0.00003189234,0.00002592408,0.00001623266,0.00001545764,0.00001905953,0.001199859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062829,"threshold_uncertainty_score":0.5511247,"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."}}