{"id":"W2617034285","doi":"10.1039/c6ra27987b","title":"Biocomposite consisting of miscanthus fiber and biodegradable binary blend matrix: compatibilization and performance evaluation","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Discovery Centre","funders":"Ministero dello Sviluppo Economico; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Economic Development and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Polybutylene succinate; Compatibilization; Biocomposite; Materials science; Miscanthus; Extrusion; Adipate; Fiber; Composite material; Molding (decorative); Matrix (chemical analysis); Chemical engineering; Polymer chemistry; Polymer blend; Polymer; Composite number; Waste management; Biofuel","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003239556,0.0001253766,0.0002018704,0.00006074633,0.0004699438,0.0001226698,0.0001563879,0.00003953545,0.00005700132],"category_scores_gemma":[0.00007756266,0.000104477,0.0000158732,0.00005088957,0.0002873049,0.0009256058,0.0001198105,0.00004950304,0.000008480048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001960932,"about_ca_system_score_gemma":0.0000247695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005384117,"about_ca_topic_score_gemma":0.00001001566,"domain_scores_codex":[0.9990651,0.00004220284,0.0002430703,0.0002511921,0.000240765,0.0001576505],"domain_scores_gemma":[0.9990802,0.0001022125,0.0003583481,0.0002736963,0.000139282,0.00004621792],"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":[0.00009771423,0.0000133567,0.02227142,0.000258964,0.000007839833,0.00000108383,0.0001438201,0.001107442,0.9409181,0.0001682757,0.00002474943,0.03498718],"study_design_scores_gemma":[0.0007552482,0.0002109279,0.03512925,0.0003275005,0.00005908829,0.00002522846,0.00004058968,0.06309104,0.8991528,0.0003381409,0.0006131237,0.000257136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905251,0.008119799,0.00004142425,0.00006756306,0.0001254105,0.0002671802,0.00001586639,0.00002811002,0.0008095281],"genre_scores_gemma":[0.9902908,0.0003331467,0.009184262,0.0000088754,0.00002623186,0.000007601835,0.00001140909,0.000007677979,0.0001300194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0619836,"threshold_uncertainty_score":0.426045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101970491859406,"score_gpt":0.2999762492294502,"score_spread":0.2789565443108561,"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."}}