{"id":"W2915165004","doi":"10.2118/0606-0060-jpt","title":"Overview: Reservoir Simulation and Visualization (June 2006)","year":2006,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; Field (mathematics); Reservoir simulation; Visualization; Reservoir engineering; Reservoir modeling; Grid; Simulation modeling; Petroleum engineering; Industrial engineering; Data science; Data mining; Geology; Engineering; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003350093,0.0001148799,0.0002409282,0.0006783499,0.0000345171,0.00002447334,0.0001178438,0.0001840326,0.00001570272],"category_scores_gemma":[0.0001164065,0.000108816,0.00004672695,0.0003846346,0.00003086615,0.0001819703,0.00002058448,0.000226991,0.000002858937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000555848,"about_ca_system_score_gemma":0.000009425802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002684289,"about_ca_topic_score_gemma":0.000004348114,"domain_scores_codex":[0.9991115,0.00002894017,0.0004566414,0.0000779341,0.0001665255,0.0001584071],"domain_scores_gemma":[0.9994988,0.00008388294,0.0001207582,0.0001381774,0.0001230129,0.00003540372],"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":[0.000007675342,0.00001117029,0.00250587,0.00003629076,0.00001572581,0.000007819898,0.000008069976,0.9906344,0.003427388,0.001744425,0.0006994114,0.0009017732],"study_design_scores_gemma":[0.0006509645,0.00006848849,0.003081517,0.00004018888,0.00001773137,0.00004664171,0.00001791149,0.9407262,0.001862349,0.003917886,0.04945253,0.0001176269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137404,0.004408949,0.2808104,0.0002338518,0.000296603,0.00003094409,0.000001709617,0.0001868579,0.0002903508],"genre_scores_gemma":[0.9891008,0.0002661387,0.0101892,0.000006723066,0.0001699976,0.000001442063,0.000002225438,0.00002702069,0.0002365098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2753603,"threshold_uncertainty_score":0.4437387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013627203118721,"score_gpt":0.2936051770507811,"score_spread":0.2799779739320601,"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."}}