{"id":"W2770482110","doi":"10.1016/j.carbpol.2017.11.043","title":"Impact of TEMPO-oxidization strength on the properties of cellulose nanofibril reinforced polyvinyl acetate nanocomposites","year":2017,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Académie Hassan II des Sciences et Techniques; Académie Hassan II des Sciences et Techniques","keywords":"Materials science; Polyvinyl acetate; Nanocomposite; Ultimate tensile strength; Thermogravimetric analysis; Dynamic mechanical analysis; Thermal stability; Differential scanning calorimetry; Composite material; Crystallinity; Izod impact strength test; Polymer; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002691051,0.000275229,0.0001472608,0.0001490035,0.0001131338,0.000233437,0.0001401014,0.000194004,0.001396799],"category_scores_gemma":[0.0004570296,0.0001441543,0.0001564498,0.0001081072,0.0001885163,0.0003413133,0.0001135199,0.0003212249,0.0001311579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192331,"about_ca_system_score_gemma":0.0001328553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004742447,"about_ca_topic_score_gemma":0.0008778743,"domain_scores_codex":[0.9998773,0.00001484748,0.00001375327,0.00002731412,0.00002835731,0.00003843241],"domain_scores_gemma":[0.9996393,0.0001377726,0.00009658666,0.00002029358,0.0000602458,0.00004565103],"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":[0.0002620915,0.00002364637,0.0001428688,0.000035643,0.000005411331,0.00002656387,0.00002376129,0.0000979512,0.9984951,0.00002470963,0.00001052812,0.0008518141],"study_design_scores_gemma":[0.000005641067,0.0001582713,0.0008456769,0.000002985153,0.00001335063,0.0000117457,0.00001427016,0.0003620994,0.9984453,0.000006211675,0.0001308561,0.000003738744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991187,0.0002047475,0.0002451488,0.000009016815,0.000009503078,0.000003623704,0.00002442209,0.000008454872,0.0003764264],"genre_scores_gemma":[0.9991622,0.0001426908,0.0002545607,0.000008919568,0.00000366117,0.000004454477,0.00003053145,0.000007956429,0.0003849792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001396799,"threshold_uncertainty_score":0.004672766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291770121932144,"score_gpt":0.2847723560837688,"score_spread":0.2555953438905544,"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."}}