{"id":"W2900031081","doi":"10.1021/acsomega.8b01675","title":"Bio-poly(butylene succinate) and Its Composites with Grape Pomace: Mechanical Performance and Thermal Properties","year":2018,"lang":"en","type":"article","venue":"ACS Omega","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Pomace; Materials science; Thermogravimetric analysis; Flexural strength; Composite material; Molding (decorative); Compression molding; Maleic anhydride; Extrusion; Composite number; Polybutylene succinate; Izod impact strength test; Mold; Polymer; Chemistry; Food science; Ultimate tensile strength","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":[0.000123264,0.0004485806,0.000151085,0.0001695334,0.0001332137,0.0002226145,0.0001038603,0.0002367226,0.001345436],"category_scores_gemma":[0.0001282927,0.0001199342,0.0001636656,0.0001649816,0.0001945494,0.0002754865,0.0001089438,0.0003369816,0.0002701717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495227,"about_ca_system_score_gemma":0.0001174607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007783597,"about_ca_topic_score_gemma":0.002075543,"domain_scores_codex":[0.9999241,0.000007418068,0.000004687552,0.00002004981,0.00003043552,0.00001336851],"domain_scores_gemma":[0.9998882,0.00002342912,0.00002618333,0.000009117512,0.00001700577,0.00003602454],"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":[0.00004069423,0.000008575487,0.000130097,0.00001706139,0.000003719752,0.00002942399,0.000007558616,0.00007046705,0.9990596,0.00001685318,0.000008002715,0.0006079045],"study_design_scores_gemma":[0.000002093975,0.0001041445,0.002990686,0.000002124777,0.000006627026,0.00004592542,0.00001007981,0.0002545102,0.9961624,0.00001020085,0.0004083616,0.000002800261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963723,0.0005990989,0.001509204,0.00002717448,0.00001887553,0.000009789599,0.00009453509,0.00002119542,0.001347741],"genre_scores_gemma":[0.9959675,0.0002818186,0.00118389,0.00001726271,0.000004582725,0.0000052186,0.0001147009,0.00001723852,0.002407761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345436,"threshold_uncertainty_score":0.004500926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173154545612036,"score_gpt":0.2128492686408518,"score_spread":0.2011177231847314,"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."}}