{"id":"W2799568446","doi":"10.1002/pc.24909","title":"Effect of fiber and polymer variability on the rheological properties of wood polymer composites during processing","year":2018,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre Technologique des Résidus Industriels; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"High-density polyethylene; Materials science; Composite material; Fiber; Polyethylene; Polymer; Composite number; Pellets; Plastics extrusion; Polyvinyl chloride","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":[0.0006469117,0.0004608911,0.0007098654,0.0001473071,0.0004504659,0.0001181268,0.0006514434,0.0001620233,0.0005155653],"category_scores_gemma":[0.0001136589,0.0002617355,0.0001529708,0.000346964,0.001639605,0.0002591496,0.0004742713,0.0002597967,0.00005476319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003125157,"about_ca_system_score_gemma":0.00003686027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315446,"about_ca_topic_score_gemma":0.000001685777,"domain_scores_codex":[0.9970174,0.0006355731,0.0006828995,0.0005848657,0.0005411182,0.000538104],"domain_scores_gemma":[0.9976791,0.001026638,0.0003944972,0.0006250523,0.0001488069,0.0001259479],"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":[0.001038901,0.0000831475,0.002907086,0.0003237526,0.00004737166,0.000001661851,0.0004250654,0.000003336178,0.9932046,0.001228251,0.00000929747,0.0007275399],"study_design_scores_gemma":[0.0005589595,0.001023118,0.001306125,0.0004019307,0.0001012649,0.0000410436,0.00001484879,0.0002887592,0.995913,0.00003794609,0.000005456172,0.0003076021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910794,0.00603876,0.00001223965,0.0003614444,0.0001406216,0.0004872652,0.00001966063,0.0001205331,0.001740084],"genre_scores_gemma":[0.9990179,0.000004694347,0.0001532062,0.0001156908,0.0001396122,0.00003475205,0.00000381212,0.00003507135,0.0004952506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007938518,"threshold_uncertainty_score":0.9999835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092171751380154,"score_gpt":0.2324640980364291,"score_spread":0.2215423805226275,"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."}}