{"id":"W2333443813","doi":"10.4043/26098-ms","title":"GTL FPSO &amp; Modular GTL as Potential Solutions for Developing Offshore Oil &amp; Gas Fields","year":2015,"lang":"en","type":"article","venue":"OTC Brasil","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Daewoo Shipbuilding & Marine Engineering; Syncrude","keywords":"Offshore oil and gas; Submarine pipeline; Environmental science; Natural gas; Gas to liquids; Petroleum engineering; Engineering; Waste management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002157729,0.0002821719,0.0002952996,0.0001182507,0.0001726061,0.00005858452,0.0002237959,0.0001686966,0.00006565003],"category_scores_gemma":[0.0002193399,0.0002967903,0.0001328629,0.0001877489,0.00003511495,0.000129795,0.0001382728,0.0002109561,0.0002298763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081962,"about_ca_system_score_gemma":0.00006689558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007939427,"about_ca_topic_score_gemma":0.0003910305,"domain_scores_codex":[0.9986252,0.00001284958,0.0002766704,0.0002588822,0.0002229306,0.0006035038],"domain_scores_gemma":[0.99929,0.00005390865,0.00002832781,0.0003536564,0.0001299408,0.0001440982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005532818,0.00009103854,0.00124416,0.0007561583,0.0007522877,0.00003850183,0.001874529,0.3933812,0.001528342,0.01000138,0.5559239,0.0343532],"study_design_scores_gemma":[0.00114384,0.00005884291,0.001861697,0.0001183735,0.0001207661,0.00009827523,0.0001832558,0.03129518,0.0006608258,0.002315168,0.961076,0.001067829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2945248,0.003465751,0.6449387,0.001922139,0.004320071,0.0003748383,0.00005689918,0.001691505,0.04870526],"genre_scores_gemma":[0.9506888,0.0002667621,0.03071213,0.0001559085,0.001160426,0.000169677,0.0001586302,0.0001323313,0.01655534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.656164,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920483971979317,"score_gpt":0.2546217912033141,"score_spread":0.215416951483521,"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."}}