{"id":"W2569885866","doi":"10.1016/j.ijbiomac.2017.01.029","title":"Mechanical, morphological and structural properties of cellulose nanofibers reinforced epoxy composites","year":2017,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":223,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Epoxy; Materials science; Composite material; Nanocomposite; Scanning electron microscope; Ultimate tensile strength; Fourier transform infrared spectroscopy; Cellulose; 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":[0.0001142865,0.0002010532,0.00008168835,0.0002877322,0.0001416325,0.0001229382,0.00009242052,0.0002240954,0.001923432],"category_scores_gemma":[0.0002136179,0.0001482306,0.0001276782,0.0001284313,0.0001639428,0.0002340055,0.00007355177,0.0002515825,0.0001630729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128147,"about_ca_system_score_gemma":0.0000745846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005809244,"about_ca_topic_score_gemma":0.001444481,"domain_scores_codex":[0.9999037,0.000005807096,0.000006590438,0.0000220519,0.00004131208,0.00002059107],"domain_scores_gemma":[0.9997163,0.00006448296,0.00008491539,0.00001981811,0.00006977387,0.0000446654],"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":[0.00006655755,0.00001548818,0.0003202596,0.00001700066,0.000002304608,0.00006210956,0.00002199598,0.0001876292,0.9983674,0.00002871343,0.00002386346,0.0008868622],"study_design_scores_gemma":[0.000004957574,0.0001658728,0.02288998,0.000004920008,0.00001110631,0.0001091934,0.00006597598,0.001409964,0.9748101,0.00002110753,0.0004967549,0.00001012457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985322,0.0001304044,0.0003688515,0.00001221157,0.00001109096,0.000003130061,0.00007132858,0.00001399426,0.0008567524],"genre_scores_gemma":[0.9981316,0.00006925224,0.000350848,0.00001135845,0.000003503274,0.000005042334,0.00006512852,0.000007893502,0.001355492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001923432,"threshold_uncertainty_score":0.00643456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265067788956865,"score_gpt":0.3105598444198684,"score_spread":0.2679091665302997,"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."}}