{"id":"W2327218840","doi":"10.1021/sc500353v","title":"Toughened Sustainable Green Composites from Poly(3-hydroxybutyrate-<i>co</i>-3-hydroxyvalerate) Based Ternary Blends and Miscanthus Biofiber","year":2014,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Economic Development and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Materials science; Composite material; Toughness; Ternary operation; Reactive extrusion; Izod impact strength test; Natural rubber; Dynamic mechanical analysis; SISAL; Scanning electron microscope; Extrusion; Ultimate tensile strength; Polymer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004769262,0.0006113363,0.0006008699,0.00009930284,0.0004576741,0.00050681,0.0005774797,0.0002810858,0.0006696015],"category_scores_gemma":[0.0001178901,0.0005741616,0.0001029292,0.0002546184,0.0001711018,0.0005536298,0.0002893314,0.0002735021,0.00002409895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870445,"about_ca_system_score_gemma":0.0001608374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095241,"about_ca_topic_score_gemma":0.000002364957,"domain_scores_codex":[0.9968464,0.00006555171,0.0004925524,0.0008335024,0.0003743262,0.00138768],"domain_scores_gemma":[0.9983235,0.0002577865,0.0001530951,0.0007443749,0.0001744082,0.0003468417],"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":[0.00008067976,0.00004931077,0.0004030296,0.0009593688,0.00004076745,0.0001082853,0.0002580429,0.0006239899,0.9963706,0.0002164608,0.0001900775,0.0006994124],"study_design_scores_gemma":[0.0006071261,0.00004989187,0.00009040031,0.00009751665,0.00006155783,0.00001961579,0.000748819,0.01537066,0.9569901,0.0001534333,0.02507295,0.0007378767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805841,0.01226326,0.001655456,0.0006831747,0.0001013578,0.0002254371,0.00006015901,0.0004368403,0.003990206],"genre_scores_gemma":[0.9828159,0.0000437085,0.001541147,0.0001734742,0.0003523128,0.00007888731,0.00006571992,0.0001032719,0.01482558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03938043,"threshold_uncertainty_score":0.999671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004890919817539748,"score_gpt":0.1811710030419933,"score_spread":0.1762800832244536,"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."}}