{"id":"W2801177866","doi":"10.4043/28949-ms","title":"Long Gas Tiebacks – Pseudo Dry Gas Systems","year":2018,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Subsea; Pipeline transport; Submarine pipeline; Petroleum engineering; Marine engineering; Engineering; Pipeline (software); Dry gas; Work (physics); Natural gas; Flow (mathematics); Environmental science; Mechanical engineering; Mechanics; Waste management; Physics; Geotechnical engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001227096,0.0002099962,0.0003253543,0.0001840515,0.0005463265,0.0006367025,0.0004833436,0.0004402836,0.003968998],"category_scores_gemma":[0.0003409272,0.0001345671,0.0001673785,0.0001907542,0.0006590284,0.0009508826,0.0007712973,0.0005283671,0.0004414465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005845028,"about_ca_system_score_gemma":0.0002298071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001659587,"about_ca_topic_score_gemma":0.001322051,"domain_scores_codex":[0.9998609,0.00001904504,0.000004759449,0.00003348178,0.00004583221,0.00003590581],"domain_scores_gemma":[0.9998542,0.00004172991,0.00003477658,0.00002411117,0.00002271058,0.00002241793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001594417,0.0004758024,0.01152188,0.0004823338,0.00008792039,0.002534037,0.0009515663,0.3444276,0.5228078,0.04895137,0.002408004,0.06375722],"study_design_scores_gemma":[0.0001545346,0.001636161,0.01258014,0.00004553009,0.00003851458,0.0006893296,0.001183467,0.7260641,0.209372,0.01995115,0.02817949,0.0001056473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9609862,0.0003445719,0.03002148,0.0001419086,0.0000416733,0.00004400616,0.0001543299,0.0003097838,0.007955963],"genre_scores_gemma":[0.9956103,0.0000618983,0.002092459,0.00001387489,0.00000401598,0.00001424101,0.00008077612,0.000009974496,0.002112472],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003968998,"threshold_uncertainty_score":0.01327759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055802100877071,"score_gpt":0.2098387067475331,"score_spread":0.1992806857387624,"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."}}