{"id":"W1963091146","doi":"10.1002/app.42438","title":"Polypropylene reinforced with nanocrystalline cellulose: Coupling agent optimization","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; CRB Innovations (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Karlsruhe Institute of Technology; Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministero dello Sviluppo Economico; FPInnovations; ArboraNano","keywords":"Materials science; Polypropylene; Composite material; Maleic anhydride; Rheology; Nanocrystalline material; Cellulose; Nanocomposite; Polymer; Copolymer; Chemical engineering; Nanotechnology","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":[0.0002785712,0.0005475782,0.0003158416,0.0004355471,0.0001301778,0.0002893368,0.0002101731,0.0002652199,0.0007291534],"category_scores_gemma":[0.0003420595,0.0001787885,0.0002273362,0.0004333152,0.0001107845,0.0003360345,0.000158593,0.000287828,0.0002564838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998633,"about_ca_system_score_gemma":0.0002771375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008649737,"about_ca_topic_score_gemma":0.003041102,"domain_scores_codex":[0.9998049,0.00002344666,0.00002162704,0.00005495484,0.00006418956,0.00003085102],"domain_scores_gemma":[0.9998193,0.00003378,0.00006940759,0.00001290506,0.00003260986,0.00003194365],"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":[0.00006500063,0.0000467647,0.0001100482,0.00007009455,0.000007220392,0.00003087363,0.00000865484,0.0004345265,0.9967712,0.00002401705,0.00001634275,0.00241516],"study_design_scores_gemma":[0.000007940866,0.0001950149,0.001295217,0.000005023539,0.00002369123,0.0000327594,0.000006594595,0.001196275,0.9965197,0.000007570395,0.0007048976,0.000005446359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937816,0.001592566,0.002996633,0.00002497865,0.00001401908,0.00004329453,0.0001087667,0.00004169228,0.001396526],"genre_scores_gemma":[0.988047,0.001212865,0.009523273,0.00001661778,0.000005686727,0.00003981758,0.0001079653,0.00003188388,0.001014911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008649737,"threshold_uncertainty_score":0.002439201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284945547991525,"score_gpt":0.2720315754647871,"score_spread":0.2491821199848719,"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."}}