{"id":"W3187839606","doi":"10.1061/(asce)ps.1949-1204.0000589","title":"Modeling Time-Dependent Behavior of Medium-Density Polyethylene Pipes","year":2021,"lang":"en","type":"article","venue":"Journal of Pipeline Systems Engineering and Practice","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pipeline transport; Polyethylene; Pipeline (software); Materials science; Geotechnical engineering; Finite element method; Soil structure interaction; Mechanics; Canalisation; Composite material; Environmental science; Structural engineering; Engineering; Mechanical engineering; Piping; Environmental engineering","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":[0.0002284352,0.0004452186,0.0002701866,0.0003513406,0.0002068652,0.0004227752,0.0006264593,0.001121979,0.0008275388],"category_scores_gemma":[0.0006892538,0.000247986,0.0003692069,0.0002191266,0.000506833,0.0005344195,0.0003753965,0.0002982375,0.0001136377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198723,"about_ca_system_score_gemma":0.0004939274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713692,"about_ca_topic_score_gemma":0.002234374,"domain_scores_codex":[0.9998978,0.00002122294,0.00000534423,0.00002175785,0.0000350038,0.00001877308],"domain_scores_gemma":[0.999761,0.0001141092,0.00005309168,0.0000175599,0.00004141726,0.0000127844],"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":[0.00002364994,0.00004228791,0.001370662,0.00003540357,0.000005558872,0.0001762479,0.00005881872,0.9775428,0.01624692,0.001406495,0.00007171846,0.003019481],"study_design_scores_gemma":[0.000001583225,0.00001497476,0.0003743627,0.000002308119,0.000001677067,0.00001322179,0.000008463203,0.9985991,0.0007514493,0.0001206476,0.0001096993,0.000002589287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7404698,0.0003104988,0.2488681,0.0001449331,0.00003352555,0.00009935252,0.0001585928,0.0002174954,0.009697683],"genre_scores_gemma":[0.9899797,0.0001971242,0.007221825,0.00001099786,0.000005578619,0.00003690953,0.0000419741,0.00001519634,0.002490671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003713692,"threshold_uncertainty_score":0.007384181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00949094567511805,"score_gpt":0.2273363418684166,"score_spread":0.2178453961932985,"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."}}