{"id":"W2031315911","doi":"10.1115/omae2009-79264","title":"Arctic Pipeline Design Challenges and Current Practices: Ice Scour","year":2009,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Submarine pipeline; Current (fluid); Pipeline (software); Pipeline transport; Marine engineering; Arctic; Computer science; Engineering; Oceanography; Geology; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001320058,0.000131581,0.0001156406,0.00008240451,0.00001922476,0.00002371661,0.00009216334,0.00006167214,0.000007532992],"category_scores_gemma":[0.0001627369,0.0001141539,0.00001658828,0.00006534634,0.00001387025,0.000135745,0.00001270212,0.000193069,0.00001948851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001828821,"about_ca_system_score_gemma":0.000004173714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001295565,"about_ca_topic_score_gemma":0.000001553081,"domain_scores_codex":[0.9994866,0.00000786177,0.0001059254,0.0001354984,0.00007908737,0.000184977],"domain_scores_gemma":[0.9996527,0.00008855518,0.00002325159,0.0001728239,0.00001931865,0.0000433059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000529505,0.00004568093,0.00001566035,0.0001850833,0.00002021283,0.000008142313,0.0001921201,0.01119988,0.0007483517,0.006139873,0.001539754,0.9798999],"study_design_scores_gemma":[0.002163678,0.000961169,0.0169292,0.000945994,0.0002249579,0.0002609266,0.001998613,0.721144,0.02839971,0.0250685,0.1991324,0.002770917],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04250179,0.3529844,0.5593812,0.006802194,0.001399542,0.0006638303,0.000002754432,0.0131635,0.02310083],"genre_scores_gemma":[0.9656566,0.02315062,0.01103056,0.00001209973,0.00007422762,0.000006085835,6.257678e-7,0.00001380764,0.0000554218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977129,"threshold_uncertainty_score":0.465506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05832948237008945,"score_gpt":0.2656210326625001,"score_spread":0.2072915502924106,"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."}}