{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001535991,0.0004662746,0.0003966905,0.0005740539,0.0004086291,0.0004918461,0.000427023,0.00058562,0.00523265],"category_scores_gemma":[0.0007614422,0.0002468327,0.0002935099,0.0003491897,0.0005507114,0.0004533888,0.001076974,0.0003945177,0.0003013708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790871,"about_ca_system_score_gemma":0.0005083527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435123,"about_ca_topic_score_gemma":0.004084236,"domain_scores_codex":[0.999739,0.00002470073,0.00000674263,0.00003479314,0.0001153873,0.0000793894],"domain_scores_gemma":[0.999647,0.000188064,0.00005993309,0.00002299203,0.00005254563,0.00002940568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005059285,0.0001610032,0.009901783,0.0003472704,0.0000569884,0.003608202,0.000500778,0.6434728,0.2645082,0.01495331,0.0009164899,0.06106735],"study_design_scores_gemma":[0.00003401097,0.0003360488,0.02185262,0.0000468102,0.00006910134,0.0009810334,0.0003762281,0.9338274,0.0348806,0.004012,0.003525594,0.00005857724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465121,0.0004259134,0.1256919,0.0001773035,0.00005362105,0.00003085859,0.0001374562,0.0003363947,0.02663452],"genre_scores_gemma":[0.9961302,0.00008077069,0.001477262,0.000009225985,0.000005762682,0.000005707322,0.0000179678,0.00001804023,0.002254914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00523265,"threshold_uncertainty_score":0.01750499,"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."}}