{"id":"W2055026412","doi":"10.2118/116927-ms","title":"Large Bore Subsea Production Systems for Woodside's Gas Developments","year":2008,"lang":"en","type":"article","venue":"SPE Asia Pacific Oil and Gas Conference and Exhibition","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"Woodside","keywords":"Subsea; Petroleum engineering; Production (economics); Computer science; Marine engineering; Geology; 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":[0.00009462947,0.0001611542,0.0001686275,0.00009875942,0.0001482517,0.00004785011,0.00003784104,0.0001145515,0.00000295363],"category_scores_gemma":[0.00002275219,0.0001521846,0.00002100037,0.00009546477,0.00005172525,0.0001640688,0.00001384096,0.0001064178,0.000005487726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002122745,"about_ca_system_score_gemma":0.00001425352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005278242,"about_ca_topic_score_gemma":0.000007776538,"domain_scores_codex":[0.9992732,0.00000665885,0.0001550122,0.0002216087,0.00008822438,0.0002553329],"domain_scores_gemma":[0.9997411,0.00001259002,0.0000220215,0.0001149587,0.00005539195,0.00005388092],"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":[0.0001994631,0.0002936712,0.02180432,0.005334531,0.0004771434,0.0001260786,0.01156705,0.002379364,0.04098229,0.04320389,0.04199866,0.8316336],"study_design_scores_gemma":[0.01044874,0.001700446,0.05485852,0.004795749,0.00042232,0.003257763,0.06164332,0.1371611,0.250268,0.02952475,0.4380378,0.007881538],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877946,0.001748494,0.003395624,0.0005631693,0.0006089766,0.000134927,0.00003053063,0.0006988648,0.005024817],"genre_scores_gemma":[0.9904851,0.008168091,0.0005725855,0.000002681782,0.00009754529,0.00006856142,0.00006829772,0.00001805269,0.0005190793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.823752,"threshold_uncertainty_score":0.6205909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750890315226851,"score_gpt":0.2001942561679282,"score_spread":0.1826853530156597,"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."}}