{"id":"W2972823063","doi":"10.1002/peng.20184","title":"Multi‐Relaxation Test to Characterize PE Pipe Performance","year":2019,"lang":"en","type":"article","venue":"Plastics Engineering","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Fracture (geology); Creep; Deformation (meteorology); Brittleness; Relaxation (psychology); Stress relaxation; Stress (linguistics); Composite material; Hydrostatic stress; Forensic engineering; Structural engineering; Engineering; Finite element method","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009089849,0.0006299444,0.0004928657,0.0009395213,0.0002135998,0.0002854126,0.0004475144,0.0004997527,0.002284187],"category_scores_gemma":[0.001407952,0.0002237078,0.0004457286,0.0005231283,0.0002297717,0.0006177403,0.0004549749,0.0008143092,0.0006288137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807795,"about_ca_system_score_gemma":0.0001746324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004286861,"about_ca_topic_score_gemma":0.000468663,"domain_scores_codex":[0.9990022,0.0001796051,0.00008400591,0.0001829579,0.0004749728,0.00007636273],"domain_scores_gemma":[0.9981295,0.0004787659,0.0004798424,0.0001689761,0.0006142767,0.0001285277],"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":[0.0002213238,0.0001167246,0.003264712,0.00004817903,0.00001707371,0.00003624079,0.00005362671,0.0003765984,0.9887093,0.00003226783,0.00006268563,0.007061203],"study_design_scores_gemma":[0.00001560948,0.002512632,0.02778704,0.00001016496,0.00004232084,0.0002220012,0.00006503212,0.008274741,0.9601378,0.00003291427,0.0008640629,0.00003573212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320167,0.0004707424,0.06480781,0.00005817517,0.00005357738,0.0001106867,0.0004589408,0.0005059529,0.001517356],"genre_scores_gemma":[0.9830277,0.0001362686,0.01435451,0.00003476343,0.00001051736,0.00008573235,0.0002588977,0.00005957554,0.002032013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002284187,"threshold_uncertainty_score":0.007641435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268786570052813,"score_gpt":0.1865172466392161,"score_spread":0.173829380938688,"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."}}