{"id":"W1992879923","doi":"10.2118/2008-033","title":"Post-Cold Production Solvent Vapor Extraction (SVX) Process Performance Evaluation by Numerical Simulation","year":2008,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Process Optimization and Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Extraction (chemistry); Process (computing); Process simulation; Solvent extraction; Process engineering; Production (economics); Computer simulation; Solvent; Materials science; Computer science; Environmental science; Chemistry; Simulation; Engineering; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608971,0.0001869981,0.0001228269,0.0002973597,0.0001937599,0.00007960705,0.0001980316,0.0001122991,0.0007706697],"category_scores_gemma":[0.0001863781,0.0002115419,0.00003918161,0.0001825746,0.00003820677,0.001058288,0.000005640875,0.000217599,0.0001001675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008186827,"about_ca_system_score_gemma":0.0004712371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049252,"about_ca_topic_score_gemma":0.00179913,"domain_scores_codex":[0.9985759,0.00002457848,0.0003294257,0.00028931,0.0005324932,0.0002483515],"domain_scores_gemma":[0.9984359,0.00001669999,0.00009159742,0.0001430628,0.001116543,0.0001961778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001760561,0.00002626404,0.001180874,0.00001512373,0.00002558674,0.00000144316,0.0002094004,0.9901585,0.00301802,0.0001654308,0.002410176,0.002771559],"study_design_scores_gemma":[0.0002421653,0.00003904043,0.003152721,0.00003088076,0.00001260564,0.00002022115,0.00005175418,0.9797375,0.006961397,0.00002652057,0.009494544,0.0002307032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474581,0.0001027278,0.03566464,0.001184209,0.001880496,0.0003648693,0.00007734689,0.000246981,0.01302062],"genre_scores_gemma":[0.9976009,0.0001062022,0.0001631543,0.000134504,0.0001986027,0.0001366326,0.0005707824,0.00002767262,0.001061518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05014282,"threshold_uncertainty_score":0.8626426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209879369799675,"score_gpt":0.2598766095835034,"score_spread":0.2388886726035359,"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."}}