{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119079,0.0005668697,0.0002555765,0.0004426493,0.0001617251,0.0001957419,0.0001708562,0.000355644,0.0005602394],"category_scores_gemma":[0.0002290269,0.0001531032,0.000190734,0.000404848,0.0001769826,0.0002923423,0.0001645759,0.0002240516,0.0002117186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169053,"about_ca_system_score_gemma":0.0001556389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004489778,"about_ca_topic_score_gemma":0.0009456636,"domain_scores_codex":[0.9997666,0.00002891915,0.00002470297,0.00006288165,0.00008446703,0.00003240889],"domain_scores_gemma":[0.9998092,0.00002425207,0.00005794021,0.00002110282,0.00005593816,0.0000315849],"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":[0.00007004975,0.00002332207,0.00007834307,0.00002898652,0.000003131058,0.00002454088,0.000008769494,0.00006815418,0.9985453,0.00001999135,0.000007203106,0.001122345],"study_design_scores_gemma":[0.000002305558,0.0001349633,0.0004525679,0.000001055793,0.000007661214,0.00004126419,0.000003160549,0.0002098,0.998876,0.000003209265,0.0002664395,0.000001539934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934862,0.001108572,0.004290278,0.00001913653,0.00001540394,0.00003780786,0.0001107967,0.0000835863,0.0008482228],"genre_scores_gemma":[0.9921758,0.0006779339,0.005515381,0.00001175923,0.000009054971,0.00004135948,0.0001241423,0.00003189838,0.001412612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005668697,"threshold_uncertainty_score":0.001874208,"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."}}