{"id":"W2942460045","doi":"10.4043/29332-ms","title":"Ultra-Long Subsea Gas Condensate Tie Back – Pseudo Dry Gas – Liquid Handling System","year":2019,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Subsea; Wet gas; Petroleum engineering; Pressure drop; Dry gas; Pipeline transport; Flow assurance; Environmental science; Marine engineering; Engineering; Work (physics); Waste management; Environmental engineering; Mechanical engineering; Chemistry; Mechanics; Physics","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":[0.0001539386,0.0002433625,0.00020127,0.00022344,0.0003107323,0.0004053007,0.0004104027,0.0002436318,0.002411038],"category_scores_gemma":[0.0001764335,0.00008887627,0.0001760424,0.0001589595,0.0002807592,0.0004298874,0.0004405439,0.000243781,0.0005014701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006720021,"about_ca_system_score_gemma":0.000533235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003307057,"about_ca_topic_score_gemma":0.004080501,"domain_scores_codex":[0.9998527,0.00001515359,0.000006779766,0.00002664233,0.00007985086,0.00001890039],"domain_scores_gemma":[0.9999081,0.00001279882,0.00001636317,0.00001411822,0.00002993819,0.00001871079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000627035,0.0001196625,0.007376419,0.0005130619,0.00003258534,0.0006238062,0.0002812193,0.03356331,0.8706812,0.004463791,0.002673915,0.07904398],"study_design_scores_gemma":[0.0001342922,0.002143071,0.01411304,0.00003743269,0.00004607844,0.0004813459,0.0002481031,0.1483151,0.7715209,0.0007946662,0.06208948,0.00007648103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865398,0.0006501024,0.1174891,0.0002968476,0.000115475,0.0003619754,0.0009537911,0.004088467,0.01064618],"genre_scores_gemma":[0.9826158,0.00009874591,0.0123326,0.00003780986,0.000009732218,0.0000577883,0.0002790836,0.00003400619,0.004534519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003307057,"threshold_uncertainty_score":0.008065701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0088004676851775,"score_gpt":0.1917999249538991,"score_spread":0.1829994572687216,"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."}}