{"id":"W2006142525","doi":"10.1115/ipc2004-0255","title":"Northern Exposure: Monitoring and Testing a Subarctic Liquids Pipeline","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwestern University","keywords":"Subarctic climate; Pipeline (software); Leak detection; Permafrost; Environmental science; Pipeline transport; Computer science; Arctic; Risk analysis (engineering); Leak; Reliability engineering; Engineering; Geology; Environmental engineering; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005194717,0.0003129313,0.0001830514,0.0004073927,0.0008793431,0.0005818942,0.000416533,0.0003084257,0.001106422],"category_scores_gemma":[0.0005530756,0.0001648581,0.0001722017,0.0005134742,0.000353969,0.000412854,0.0005879292,0.0003196997,0.0003520588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090123,"about_ca_system_score_gemma":0.00321148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2023043,"about_ca_topic_score_gemma":0.3783774,"domain_scores_codex":[0.999493,0.00006015248,0.00001271874,0.00007518738,0.0003164088,0.00004241545],"domain_scores_gemma":[0.9996892,0.00003873109,0.00004656325,0.00002329365,0.000164245,0.00003792756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005238123,0.0004999181,0.3533008,0.0003029064,0.00007958977,0.001612017,0.004160825,0.03930369,0.3473358,0.001604468,0.004623716,0.2466524],"study_design_scores_gemma":[0.00004886364,0.001731239,0.5001608,0.00008741502,0.0001580644,0.001152053,0.004432497,0.08160315,0.367396,0.000727223,0.04240704,0.00009569244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540555,0.000318242,0.02629104,0.0003694224,0.0000170381,0.0001155608,0.0005361789,0.00111034,0.01718675],"genre_scores_gemma":[0.9674219,0.0004483601,0.02532433,0.00009273909,0.000008163411,0.0000334802,0.0003147566,0.00005554111,0.006300686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2023043,"threshold_uncertainty_score":0.4022536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786083763970254,"score_gpt":0.2339651656104129,"score_spread":0.2161043279707104,"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."}}