{"id":"W2690220672","doi":"10.1016/b978-0-08-100957-4.00021-8","title":"Cellulose nanocomposites","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanocellulose; Cellulose; Nanocomposite; Materials science; Nanofiber; Cellulosic ethanol; Polymer; Cellulose fiber; Polymer science; Polymer nanocomposite; Composite material; Ultimate tensile strength; Papermaking; Fiber; Nanotechnology; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004105542,0.000640012,0.0008541163,0.000145617,0.0006204589,0.0002352338,0.001160512,0.0003154046,0.001529758],"category_scores_gemma":[0.00007480174,0.0005530781,0.0003018601,0.000003807191,0.0008794906,0.0001246698,0.0009690793,0.0005464962,0.005377993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667964,"about_ca_system_score_gemma":0.0001621288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001032508,"about_ca_topic_score_gemma":0.0000173658,"domain_scores_codex":[0.9971231,0.00004079565,0.0004792342,0.0008673898,0.000782848,0.0007065841],"domain_scores_gemma":[0.9973461,0.0001620463,0.0005116322,0.001521999,0.0002139547,0.0002442835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000030036,0.00001141027,0.000002479974,0.0002112464,0.00007442378,0.0002810953,0.000172633,5.765899e-7,0.1125479,0.008513212,0.0006818459,0.8774732],"study_design_scores_gemma":[0.000207047,0.00006781676,0.000003474001,0.0004316975,0.00006076879,0.00001512665,0.000002424286,0.000001359024,0.05592922,0.02367166,0.9190418,0.0005676249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000129344,0.005048603,0.000008563041,0.00006710837,0.0006272361,0.0006903165,0.00007312823,0.0001762799,0.9931794],"genre_scores_gemma":[0.001152136,0.0004151113,0.001406649,0.00006921403,0.0006174544,0.00006991864,0.00001816056,0.0001386043,0.9961128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9183599,"threshold_uncertainty_score":0.9996921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584618124780129,"score_gpt":0.2854478488100241,"score_spread":0.2596016675622228,"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."}}