{"id":"W2128794541","doi":"10.1139/cgj-2014-0029","title":"Soil-buried pipeline interaction for vertical downwards relative offset","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trench; Offset (computer science); Pipeline transport; Geotechnical engineering; Limit analysis; Finite element method; Pipeline (software); Structural engineering; Soil structure interaction; Pile; Engineering; Geology; Computer science; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498495,0.0002238455,0.0002716884,0.0002452677,0.0001995312,0.0001031764,0.0002572408,0.0003461544,0.00008549205],"category_scores_gemma":[0.0005277892,0.0002088278,0.0001884147,0.0001702175,0.00006000355,0.0001785967,0.00001507471,0.001065004,0.00002375189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004092375,"about_ca_system_score_gemma":0.00008853311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004766231,"about_ca_topic_score_gemma":0.0008870341,"domain_scores_codex":[0.9986039,0.00002440852,0.0004118415,0.0001860523,0.0001810983,0.0005926919],"domain_scores_gemma":[0.9986283,0.0001877779,0.00002578838,0.0002283673,0.00009934716,0.000830397],"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":[0.00002800897,0.0000104983,0.000004736299,0.00003038411,0.00006322718,0.00001468151,0.00002831033,0.9334307,0.000960996,0.01277244,0.03108098,0.02157506],"study_design_scores_gemma":[0.0004473542,0.00009744175,0.0002855473,0.00004434634,0.00003631114,0.0002606471,0.00001137432,0.7221344,0.0003392092,0.0165995,0.2594784,0.0002654711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01086301,0.0001118654,0.9828264,0.002373169,0.001262825,0.0001930622,0.00002903699,0.0004055045,0.001935147],"genre_scores_gemma":[0.9970838,0.00001946569,0.0016357,0.000270726,0.0007816986,0.00001730167,0.00002011855,0.00004903386,0.0001221245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9862208,"threshold_uncertainty_score":0.8515752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00804506238550818,"score_gpt":0.2157470447325539,"score_spread":0.2077019823470458,"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."}}