{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01343043,0.0009906471,0.0009687578,0.002254659,0.002254253,0.006018188,0.003126282,0.002748343,0.002853171],"category_scores_gemma":[0.0144846,0.0006546108,0.0007619279,0.002837171,0.002593468,0.005212178,0.001820455,0.001572643,0.002053604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249367,"about_ca_system_score_gemma":0.004844479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022922,"about_ca_topic_score_gemma":0.02339943,"domain_scores_codex":[0.9919888,0.002642106,0.0004985728,0.0005673962,0.004038557,0.0002645674],"domain_scores_gemma":[0.9872089,0.004306031,0.001153189,0.0008291765,0.006178348,0.0003243524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001635923,0.00008549265,0.006314893,0.003796095,0.00009274522,0.0006038579,0.00250174,0.08098824,0.006928189,0.05428821,0.01347077,0.8307661],"study_design_scores_gemma":[0.00007517471,0.0009594208,0.006799589,0.006461014,0.0002435505,0.002177721,0.01406461,0.1454264,0.0230338,0.1120179,0.6883739,0.0003668752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0532762,0.09061799,0.742295,0.03299158,0.001437644,0.0002378388,0.0003582025,0.001907935,0.0768776],"genre_scores_gemma":[0.4101132,0.1306704,0.4317236,0.00229814,0.0004317194,0.000278206,0.0003657618,0.0006082268,0.02351074],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01343043,"threshold_uncertainty_score":0.07102776,"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."}}