{"id":"W2044923461","doi":"10.2118/81134-ms","title":"Improving Desalting Performance By Installing Proprietary Internals In An Existing Vessel- A Case History","year":2003,"lang":"en","type":"article","venue":"SPE Latin American and Caribbean Petroleum Engineering Conference","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Refinery; Effluent; Capital investment; Investment (military); Waste management; Payback period; Oil refinery; Power consumption; Capital cost; Environmental science; Installation; Engineering; Business; Production (economics); Power (physics); Finance","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002628487,0.0004160821,0.0004634954,0.0002273204,0.00006490391,0.00007142029,0.0001544071,0.00006555468,0.00002602853],"category_scores_gemma":[0.00009700677,0.0004674951,0.00004348851,0.0002132745,0.00009408431,0.000277735,0.00005877085,0.0005778012,0.000001731556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614982,"about_ca_system_score_gemma":0.00004180638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005092295,"about_ca_topic_score_gemma":0.000142207,"domain_scores_codex":[0.9983777,0.00001832026,0.0004339629,0.0004023082,0.0001691316,0.0005985881],"domain_scores_gemma":[0.9993634,0.00007171428,0.00008147958,0.0002570944,0.00004472769,0.000181651],"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":[0.0000516545,0.0001923192,0.11653,0.003130746,0.0003271181,0.001797212,0.01104976,0.388528,0.06301644,0.002722266,0.0004716291,0.4121829],"study_design_scores_gemma":[0.0004323686,0.000177954,0.002974247,0.0002119328,0.00002686654,0.0002084574,0.001352307,0.9875053,0.001273438,0.000004305318,0.004959836,0.0008729916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816839,0.001108247,0.0126719,0.000008671545,0.0002814824,0.0001159141,0.000007646083,0.0004564199,0.003665874],"genre_scores_gemma":[0.9927913,0.0002301311,0.006639242,0.00002086134,0.00006347882,0.00003599442,0.000008793235,0.00008280692,0.0001274087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5989773,"threshold_uncertainty_score":0.9997777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424077499326811,"score_gpt":0.201251000339477,"score_spread":0.1870102253462088,"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."}}