{"id":"W2112664766","doi":"10.1002/app.42981","title":"Impact toughness, viscoelastic behavior, and morphology of polypropylene–jute–viscose hybrid composites","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Association for Progressive Communications; Department of Chemicals and Petrochemicals, Ministry of Chemicals and Fertilizers, India","keywords":"Composite material; Materials science; Charpy impact test; Izod impact strength test; Toughness; Polypropylene; Viscoelasticity; Thermogravimetric analysis; Viscose; Thermal stability; Composite number; Fiber; Ultimate tensile strength; Chemical engineering","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":[0.0001856455,0.000298666,0.0001347166,0.0005416764,0.0001590109,0.0002552404,0.00009543148,0.0002480971,0.000656097],"category_scores_gemma":[0.0002648949,0.0001756531,0.0001374326,0.0002222688,0.0002041457,0.0003748144,0.0001415685,0.0003513287,0.00007936696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278146,"about_ca_system_score_gemma":0.00007420604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003782149,"about_ca_topic_score_gemma":0.0008763645,"domain_scores_codex":[0.9998608,0.00001070749,0.000008190966,0.00002956879,0.00006952541,0.00002124368],"domain_scores_gemma":[0.9998019,0.0000578043,0.00005976287,0.00001214121,0.0000421193,0.00002640957],"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":[0.00002194503,0.000009205126,0.0002791682,0.00002074554,0.000004302424,0.00004962066,0.00002724147,0.000117734,0.9984971,0.00002729051,0.000006659646,0.0009390662],"study_design_scores_gemma":[0.000003315419,0.0001791411,0.01485221,0.00000587802,0.00001598159,0.0002065929,0.00006394409,0.001384103,0.9824067,0.0000359747,0.0008356012,0.00001057106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976224,0.0004710708,0.001357327,0.00001015429,0.00001056596,0.00001142852,0.0000426027,0.000017588,0.0004569495],"genre_scores_gemma":[0.9974026,0.0002307266,0.001670037,0.00001042373,0.000004038393,0.00001117033,0.00005313284,0.000007389237,0.0006104801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000656097,"threshold_uncertainty_score":0.002194881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347157810515291,"score_gpt":0.2754073245194632,"score_spread":0.2619357464143103,"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."}}