{"id":"W2535296109","doi":"10.1115/ipc2000-213","title":"Analytical Simulation and Field Measurements for a Wrinkle on the Norman Wells Pipeline","year":2000,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wrinkle; Structural engineering; Bending; Buckling; Pipeline (software); Engineering; Pipeline transport; Shell (structure); Finite element method; Field (mathematics); Geology; Geotechnical engineering; Materials science; Mechanical engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003276459,0.0003458104,0.0002071147,0.0004388763,0.0003532592,0.0003500201,0.0006024365,0.0006386869,0.001352115],"category_scores_gemma":[0.0007464638,0.0002163482,0.0001955512,0.0003342228,0.0005672254,0.000387032,0.000220448,0.0003550453,0.000265141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006966392,"about_ca_system_score_gemma":0.0004158008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009774964,"about_ca_topic_score_gemma":0.01476192,"domain_scores_codex":[0.9998411,0.00002476936,0.000007581703,0.00003174088,0.0000632752,0.00003147063],"domain_scores_gemma":[0.9996363,0.0001406436,0.00005003386,0.0000465329,0.0001014669,0.00002508134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004080923,0.0004575528,0.02877064,0.0001471096,0.00001710015,0.001467737,0.0008745357,0.7936016,0.1481975,0.001425078,0.001120413,0.02351263],"study_design_scores_gemma":[0.00003370383,0.0003945455,0.01356559,0.00001175513,0.000008729239,0.0001182987,0.0003239973,0.9637381,0.02058453,0.0004143663,0.0007799406,0.00002639824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907427,0.00002333269,0.006387382,0.00004826114,0.000004672326,0.00003824643,0.0001571517,0.0001556748,0.002442603],"genre_scores_gemma":[0.9968303,0.00002916798,0.002247628,0.000003541637,0.0000010513,0.00001595611,0.00007098402,0.000009202846,0.0007921672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.990225,"threshold_uncertainty_score":0.01943612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585277100236008,"score_gpt":0.248722838817392,"score_spread":0.2228700678150319,"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."}}