{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304906,0.0002287017,0.0005660558,0.0001144124,0.0000240231,0.00003261313,0.0001603509,0.00005941444,0.0001233811],"category_scores_gemma":[0.00006043711,0.0001931004,0.00008669851,0.0001324891,0.00005986377,0.00003988916,0.0001047111,0.00005125718,0.000005769957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001584763,"about_ca_system_score_gemma":0.00001760147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002684375,"about_ca_topic_score_gemma":1.281234e-7,"domain_scores_codex":[0.9988139,0.00008175205,0.0004375953,0.0002454986,0.0001942716,0.000226989],"domain_scores_gemma":[0.9992418,0.000146556,0.0001627955,0.0003244794,0.00007228509,0.00005213996],"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":[0.0001805456,0.00001829659,0.00002874986,0.001692,0.00002553205,0.00002215078,0.00001600686,0.005545964,0.9922382,0.00006222146,7.431356e-7,0.0001695495],"study_design_scores_gemma":[0.0005300863,0.0005857468,0.0001739898,0.0006187982,0.0000555695,0.00003035863,7.668724e-7,0.003450983,0.9943621,0.000002712111,0.00001325558,0.0001755967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990075,0.000383766,0.000102567,0.00001048332,0.0001724294,0.0001975537,0.0000544357,0.00003430282,0.00003698505],"genre_scores_gemma":[0.9971302,0.00001539768,0.002761956,0.000007999747,0.00001370897,0.0000135545,0.00001873968,0.00002842871,0.00001003358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002659389,"threshold_uncertainty_score":0.7874406,"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."}}