{"id":"W2405935902","doi":"10.1016/j.carbpol.2016.05.083","title":"TEMPO-oxidized cellulose nanofibers (TOCNs) as a green reinforcement for waterborne polyurethane coating (WPU) on wood","year":2016,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Tianjin Science and Technology Committee; Beijing Municipal Science and Technology Commission; Canada Research Chairs","keywords":"Polyurethane; Cellulose; Nanofiber; Coating; Materials science; Composite material; Polymer science; Polymer chemistry; Chemical engineering; Engineering","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":[0.0001493329,0.0002158123,0.00009866181,0.0001929162,0.0001220587,0.0001730925,0.0001448593,0.0002039029,0.000587758],"category_scores_gemma":[0.0001286143,0.00009002473,0.0001587297,0.00009126325,0.0001509223,0.0002542366,0.0001250677,0.0002313264,0.00009904349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360927,"about_ca_system_score_gemma":0.00009234888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005610035,"about_ca_topic_score_gemma":0.001480064,"domain_scores_codex":[0.9999311,0.000007381734,0.000004361046,0.00001498982,0.00002321458,0.00001885513],"domain_scores_gemma":[0.99993,0.00001446985,0.00001925483,0.000006652471,0.0000153521,0.0000141194],"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":[0.00002439094,0.00001050135,0.00006542249,0.00003946789,0.000002810993,0.00003759872,0.00001581065,0.0001000383,0.9971565,0.0000871783,0.00002128191,0.002439063],"study_design_scores_gemma":[0.000001599731,0.00006822954,0.0004368663,0.000002587564,0.000006904773,0.00002948081,0.000008945586,0.0006151053,0.9982862,0.000008251331,0.0005336135,0.000002242143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946414,0.001246885,0.002751813,0.00002760815,0.00004458793,0.000009541186,0.00001983013,0.00003347364,0.001224843],"genre_scores_gemma":[0.9960119,0.0005453659,0.001968904,0.00001468784,0.00001114245,0.000004620508,0.00001812233,0.00001039983,0.00141501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000587758,"threshold_uncertainty_score":0.001966238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178621031910271,"score_gpt":0.2803049820367234,"score_spread":0.2585187717176207,"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."}}