{"id":"W3187651547","doi":"10.1002/pen.25762","title":"Deep stretch of polyethylene by transverse loading: Finite element simulation to characterize the influence of indenter size and loading speed on the stress development and distribution","year":2021,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Imperial Oil Limited","keywords":"Materials science; Indentation; Finite element method; Cracking; Deformation (meteorology); Composite material; Stress (linguistics); Creep; Deep drawing; Transverse plane; Structural engineering; Engineering","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":[0.0002770294,0.0004235695,0.0003870578,0.0003926118,0.0002598235,0.0003416653,0.0004544114,0.0008354181,0.001389033],"category_scores_gemma":[0.0008815721,0.0003285702,0.0004496578,0.0002638735,0.0003601443,0.0003099482,0.0002489948,0.0004528303,0.0001612536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383224,"about_ca_system_score_gemma":0.0003588332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004625369,"about_ca_topic_score_gemma":0.003819783,"domain_scores_codex":[0.9999092,0.00001651384,0.000005371571,0.00001459271,0.00003195169,0.00002241754],"domain_scores_gemma":[0.9994094,0.0003789273,0.0000719544,0.0000463552,0.00006268654,0.00003067096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001743244,0.0001870049,0.003993201,0.0000531387,0.00001847264,0.0001343057,0.0001335293,0.9537461,0.0365268,0.0003759539,0.0001316713,0.004525491],"study_design_scores_gemma":[0.000008351557,0.00008203818,0.0007385249,0.000002157484,0.000002872661,0.000008592571,0.00001365805,0.9961122,0.002914889,0.00003929165,0.00007373559,0.000003733381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856973,0.00004083351,0.01252335,0.00004119378,0.0000089611,0.0000359266,0.0001278923,0.00009611038,0.001428519],"genre_scores_gemma":[0.9942592,0.00003191114,0.004791724,0.00001061128,0.00000229507,0.00003623249,0.00007917819,0.00001609729,0.0007727709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004625369,"threshold_uncertainty_score":0.009196937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114166732247853,"score_gpt":0.2115732898717902,"score_spread":0.2004316225493117,"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."}}