{"id":"W2608038807","doi":"10.3968/9418","title":"The Integral Optimization Method of Oilfield Production System","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Energy consumption; Engineering; Production (economics); Production system (computer science); Oil production; Process (computing); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006882594,0.0007438301,0.0009131852,0.0006308997,0.0004809665,0.0008896675,0.0007786156,0.0005729683,0.004132162],"category_scores_gemma":[0.0009606201,0.000391036,0.0007214521,0.000734971,0.000402858,0.0008981828,0.0006950506,0.0008113029,0.0003144985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009693169,"about_ca_system_score_gemma":0.001381126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431442,"about_ca_topic_score_gemma":0.006337035,"domain_scores_codex":[0.9996961,0.00009245305,0.00001510536,0.00005774518,0.00009221601,0.00004629074],"domain_scores_gemma":[0.999804,0.00008598175,0.00001796177,0.000008420915,0.00007250692,0.00001118499],"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":[0.00001726608,0.0000135785,0.0002934411,0.00007560487,0.0000174354,0.00003892882,0.00004380655,0.968441,0.0006524971,0.01117959,0.0005969026,0.01862995],"study_design_scores_gemma":[0.000002708785,0.000005793613,0.00003590397,0.000003029393,0.000003318607,0.00000488768,0.000006150376,0.9978427,0.0001040033,0.001580439,0.0004091807,0.000001997917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161284,0.000361917,0.9792653,0.0001213681,0.00003620193,0.00003525371,0.00005807357,0.0001380402,0.008371116],"genre_scores_gemma":[0.7674227,0.001177025,0.2163404,0.00009988384,0.00007373308,0.0003683892,0.0002869313,0.000205381,0.0140255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01431442,"threshold_uncertainty_score":0.02846217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092296723760786,"score_gpt":0.296202613029024,"score_spread":0.2752796457914161,"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."}}