{"id":"W1990126396","doi":"10.1177/0021998305055197","title":"Nonlinear Viscoelastic Creep Prediction of HDPE-Agro-fiber Composites","year":2006,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Creep; Materials science; Composite material; Viscoelasticity; High-density polyethylene; Phase (matter); Nonlinear system; Composite number; Superposition principle; Polyethylene","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000708894,0.0003318802,0.0009250675,0.0003467542,0.0001292152,0.000243588,0.000625812,0.0001579829,0.0009357684],"category_scores_gemma":[0.00004015829,0.0002642286,0.0002267371,0.0002479777,0.0001705069,0.0006797955,0.0001563345,0.0001859992,0.0001679058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009411473,"about_ca_system_score_gemma":0.00006774722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008180204,"about_ca_topic_score_gemma":0.000001279905,"domain_scores_codex":[0.9964027,0.0002323016,0.001934287,0.0002336962,0.00080667,0.000390296],"domain_scores_gemma":[0.9969741,0.0002802217,0.001672314,0.0003287784,0.0006159191,0.000128697],"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":[0.000520774,0.0001455038,0.0002894174,0.0001039547,0.00004483169,0.00003107135,0.00003908743,0.002138918,0.9957224,0.000321124,0.0005758943,0.00006698915],"study_design_scores_gemma":[0.001041728,0.0005941616,0.00453395,0.0003382314,0.0001577186,0.0003405845,0.000006799991,0.000127385,0.9909036,0.0006717172,0.001068845,0.0002153025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958633,0.0006342035,0.0007411043,0.0001152837,0.001498942,0.0002309555,0.00020505,0.00005975791,0.0006514584],"genre_scores_gemma":[0.97834,0.00002098393,0.02021602,0.00004362464,0.001063912,0.000002823098,0.00004420248,0.00004097987,0.0002274782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01947492,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008099095793488453,"score_gpt":0.2264824873628772,"score_spread":0.2183833915693888,"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."}}