{"id":"W1971428388","doi":"10.2118/137721-ms","title":"Numerical Simulation of the Solvent Drainage Process","year":2010,"lang":"en","type":"article","venue":"Canadian Unconventional Resources and International Petroleum Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laricina Energy (Canada)","funders":"Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen","keywords":"Process (computing); Solvent; Computer science; Computer simulation; Limiting; Block (permutation group theory); Process simulation; Grid; Simulation; Mechanical engineering; Chemistry; Mathematics; Engineering; Geometry; Organic chemistry","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":[0.0001334817,0.00009367427,0.000091116,0.0001142643,0.00006447016,0.00005096762,0.0002378122,0.00006318316,0.0003841473],"category_scores_gemma":[0.0001173643,0.0000789298,0.0000593497,0.00008448246,0.00006399279,0.00009077552,0.00001441795,0.000211521,0.00000346388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000346686,"about_ca_system_score_gemma":0.00006872275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005236364,"about_ca_topic_score_gemma":0.001444309,"domain_scores_codex":[0.999341,0.00001498133,0.0001890937,0.000114701,0.000206856,0.0001334226],"domain_scores_gemma":[0.9994953,0.00007148225,0.00003892795,0.0001164088,0.0001392906,0.0001385462],"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":[0.000003410571,0.000004321728,0.00349072,0.00002036817,0.00002125142,6.709747e-7,0.00008964342,0.9893725,0.000416916,0.005991417,0.00003467052,0.0005541146],"study_design_scores_gemma":[0.0001772857,0.000007481865,0.02146689,0.00002462808,0.000004452144,0.00000445256,0.0000309008,0.9483722,0.0001436868,0.002293723,0.02738798,0.00008633609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777913,0.00004211699,0.007151921,0.0003599698,0.0006811766,0.00005569437,0.00003226273,0.00002859399,0.01385694],"genre_scores_gemma":[0.9989203,0.000004214181,0.0002274099,0.00002862677,0.0001012854,0.000007514634,0.00001133397,0.00001077565,0.0006885502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04100031,"threshold_uncertainty_score":0.4206143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157323656081839,"score_gpt":0.2613526525504226,"score_spread":0.2456202869422387,"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."}}