{"id":"W2103307654","doi":"10.1139/t07-037","title":"Large-scale modelling of soil–pipe interaction during large amplitude cyclic movements of partially embedded pipelines","year":2007,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Berm; Geotechnical engineering; Pipeline transport; Submarine pipeline; Displacement (psychology); Geology; Seabed; Lateral movement; Engineering; Structural engineering; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005778241,0.0002405962,0.000391601,0.0004486309,0.0001289686,0.00003705499,0.0003224268,0.0002975045,0.0000838401],"category_scores_gemma":[0.00007250586,0.0002462475,0.0002090809,0.0003039576,0.00004123262,0.0001622633,0.00003615437,0.0008622751,0.000003358562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535797,"about_ca_system_score_gemma":0.00008222942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009410688,"about_ca_topic_score_gemma":0.006594373,"domain_scores_codex":[0.9977432,0.00001890028,0.0009084652,0.0001868526,0.0003231643,0.0008193985],"domain_scores_gemma":[0.9987904,0.00005660977,0.0001400438,0.0002902897,0.0001320133,0.0005906041],"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":[0.00002275863,0.00002998894,0.00009485381,0.00007351563,0.00005874315,0.00003097549,0.0001376971,0.9842334,0.0146597,0.0001752337,0.00006412021,0.0004190458],"study_design_scores_gemma":[0.001175474,0.00008267187,0.005232088,0.000299667,0.00005463305,0.0002171223,0.0004851032,0.9581369,0.0284918,0.001751529,0.003561908,0.0005111177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.437112,0.0002171366,0.561925,0.00002808575,0.0003405996,0.0000782147,0.00002706847,0.00009527011,0.0001766465],"genre_scores_gemma":[0.9979609,0.0001015753,0.001584662,0.00003438591,0.0002225248,0.000002669221,0.000008420534,0.00004757093,0.00003733317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5608489,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068353981253465,"score_gpt":0.2236684909301295,"score_spread":0.2129849511175949,"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."}}