{"id":"W2053390156","doi":"10.1115/ipc2004-0022","title":"Valve Automation for Oil Pipeline Safety","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"AXYS Technologies (Canada)","funders":"","keywords":"Pipeline transport; Pipeline (software); Petroleum; Environmental science; Automation; Petroleum industry; Petroleum engineering; Block (permutation group theory); Leak; Control valves; Marine engineering; Engineering; Computer science; Environmental engineering; Geology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107438,0.0002069536,0.00019604,0.0001874823,0.0000619972,0.00007169955,0.000216426,0.0001406156,0.00006461886],"category_scores_gemma":[0.0001188224,0.0002064006,0.00009422918,0.00009942786,0.00006873986,0.0001805572,0.00003549799,0.0001593315,0.00003229808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606365,"about_ca_system_score_gemma":0.00003826565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166909,"about_ca_topic_score_gemma":0.00003399763,"domain_scores_codex":[0.9990628,0.000003830543,0.0003232149,0.0002157745,0.0001662809,0.0002280491],"domain_scores_gemma":[0.9995243,0.00003607098,0.00004050378,0.0001525325,0.0001857661,0.00006082419],"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":[0.00007277673,0.0001520268,0.0005341925,0.0003499035,0.0002905146,0.000009346968,0.0005513109,0.1892753,0.002161737,0.06949417,0.0243838,0.7127249],"study_design_scores_gemma":[0.002175703,0.00006610951,0.001173662,0.0002029774,0.00004749899,0.00002899021,0.0002142397,0.8289468,0.002820088,0.010793,0.152981,0.0005499276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06839294,0.001742248,0.906197,0.00196005,0.002460706,0.0002170645,0.0002791894,0.002314119,0.01643676],"genre_scores_gemma":[0.9872149,0.0007866409,0.008542359,0.00004423522,0.0003835891,0.00004084364,0.0002121786,0.00003193085,0.002743274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.918822,"threshold_uncertainty_score":0.841677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009862072664240946,"score_gpt":0.2224552746538336,"score_spread":0.2125932019895926,"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."}}