{"id":"W2490202222","doi":"10.1139/cgj-2016-0153","title":"Generalized framework to predict undrained uplift capacity of buried offshore pipelines","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embedment; Geotechnical engineering; Finite element method; Submarine pipeline; Offshore geotechnical engineering; Pipeline transport; Geology; Shear strength (soil); Structural engineering; Deformation (meteorology); Ultimate tensile strength; Engineering; Soil water; Materials science; Soil 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":[0.0003874132,0.0008255693,0.000571326,0.0007740061,0.0002063993,0.0004840371,0.001133905,0.0008314177,0.000837153],"category_scores_gemma":[0.000954628,0.0003852226,0.0006165486,0.0004912925,0.0004754037,0.0006453411,0.0005795581,0.0004660379,0.0001898379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616474,"about_ca_system_score_gemma":0.0008124216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009171668,"about_ca_topic_score_gemma":0.007777349,"domain_scores_codex":[0.9998486,0.00003963877,0.000009775847,0.00003420851,0.00004466178,0.00002304413],"domain_scores_gemma":[0.9997377,0.0001000574,0.00004843344,0.00003505274,0.00006384057,0.00001499187],"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":[0.000006665131,0.000008249157,0.0005733282,0.00001211938,0.000006581018,0.0000338615,0.0000114609,0.9936413,0.002352684,0.0004331483,0.00002328321,0.002897404],"study_design_scores_gemma":[8.718165e-7,0.000008447474,0.0002708524,0.000001831851,0.000001833244,0.000005597072,0.000004430013,0.9991216,0.0003320544,0.000196297,0.00005332485,0.000002814537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2753241,0.0002486754,0.7211611,0.00007222787,0.00002127568,0.00006269188,0.0002389741,0.0006733896,0.002197604],"genre_scores_gemma":[0.9635899,0.0002207329,0.03479104,0.00001633121,0.000007591438,0.00007943087,0.0001487371,0.00005024656,0.001095981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009171668,"threshold_uncertainty_score":0.01823658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040730816616083,"score_gpt":0.2056836213047833,"score_spread":0.1952763131386225,"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."}}