{"id":"W4385373479","doi":"10.1016/j.soildyn.2023.108079","title":"Performance of parallel double pipelines under non-uniform seismic excitation","year":2023,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Beijing Municipal Natural Science Foundation; Beijing Municipal Science and Technology Commission; National Natural Science Foundation of China","keywords":"Pipeline transport; Pipeline (software); Displacement (psychology); Settlement (finance); Seismic wave; Acceleration; Structural engineering; Nonlinear system; Deformation (meteorology); Geology; Intensity (physics); Excitation; Geotechnical engineering; Seismology; Engineering; Physics; Optics; Computer science; Classical mechanics","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":[0.0002563591,0.000502033,0.0005448114,0.0002897534,0.0003618718,0.0004447151,0.0004736353,0.0005541077,0.003265144],"category_scores_gemma":[0.0008733211,0.000247675,0.0002387057,0.0002873375,0.0003704412,0.000502736,0.0004512364,0.0002497573,0.0004502677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523215,"about_ca_system_score_gemma":0.0003400779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009709,"about_ca_topic_score_gemma":0.001220962,"domain_scores_codex":[0.9998401,0.00002718882,0.000008841511,0.00004384228,0.00003083631,0.0000491147],"domain_scores_gemma":[0.9992894,0.0002369889,0.0001205751,0.0000750533,0.000149899,0.0001280868],"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":[0.009656203,0.0004073369,0.01021822,0.0003773037,0.0001048242,0.0007459223,0.000315028,0.5860555,0.3432847,0.001334206,0.001149242,0.04635142],"study_design_scores_gemma":[0.000127464,0.005063112,0.01230794,0.00002538346,0.00009475724,0.0002577624,0.0002413691,0.883266,0.09705972,0.0005993002,0.0009124665,0.00004477847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915777,0.00004166621,0.006309963,0.00003631385,0.00001659697,0.000006789948,0.00006181715,0.0001738407,0.001775331],"genre_scores_gemma":[0.9988973,0.00001433916,0.000418906,0.000003079899,0.00000142189,0.000002008616,0.00002907056,0.000006595922,0.0006271955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003265144,"threshold_uncertainty_score":0.01092297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994587470820021,"score_gpt":0.1877304476063652,"score_spread":0.1817358601355452,"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."}}