{"id":"W3151305590","doi":"10.1002/mame.202000680","title":"Effect of a Small Amount of Synthetic Fiber on Performance of Biocarbon‐Filled Nylon‐Based Hybrid Biocomposites","year":2021,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Materials science; Composite material; Synthetic fiber; Ultimate tensile strength; Masterbatch; Heat deflection temperature; Molding (decorative); Nylon 6; Extrusion; Biocomposite; Injection moulding; Composite number; Fiber; Compression molding; Izod impact strength test; Polymer; Nanocomposite; Mold","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":[0.000212235,0.0005334967,0.0001752432,0.0001658315,0.0001000046,0.0002257377,0.0001633517,0.0002813667,0.001081563],"category_scores_gemma":[0.000378072,0.0001677201,0.0001396117,0.0001469228,0.0001609867,0.0002817884,0.0001364517,0.0003000397,0.0001842026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286046,"about_ca_system_score_gemma":0.0001008687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003527904,"about_ca_topic_score_gemma":0.0007241691,"domain_scores_codex":[0.9998243,0.00002603282,0.00002047793,0.00005103554,0.00004111656,0.00003695252],"domain_scores_gemma":[0.9996482,0.0001193744,0.00009533687,0.00002857786,0.00005135329,0.00005713863],"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":[0.0001968936,0.00003853799,0.000104803,0.00003454227,0.000006722097,0.00003386676,0.00001620405,0.0001643734,0.9985298,0.00001786651,0.000009584573,0.0008468804],"study_design_scores_gemma":[0.000002717854,0.000203363,0.0003950406,0.000001950473,0.0000056861,0.000009610088,0.000004447889,0.0003215706,0.9989355,0.000002159067,0.0001156678,0.000002194323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986331,0.0002762625,0.000404559,0.000009105773,0.00001459167,0.000005954968,0.00005920711,0.00003406678,0.0005631087],"genre_scores_gemma":[0.9986349,0.0001822513,0.000587078,0.000009506306,0.000003806384,0.000007454757,0.00007175205,0.00001834056,0.0004850477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081563,"threshold_uncertainty_score":0.003618181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00332769624018852,"score_gpt":0.1853070592147126,"score_spread":0.1819793629745241,"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."}}