{"id":"W2966860511","doi":"10.1007/s13202-019-0734-6","title":"Optimization of choke size for two-phase flow using artificial intelligence","year":2019,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"King Abdulaziz City for Science and Technology; King Fahd University of Petroleum and Minerals","keywords":"Choke; Artificial neural network; Offshore geotechnical engineering; Flow (mathematics); Volumetric flow rate; Fuzzy logic; Computer science; Artificial intelligence; Engineering; Mechanics; Physics; Electrical engineering","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":[0.0004353789,0.00008433055,0.0002087364,0.0003913688,0.00002937,0.00001533806,0.00006279052,0.0000883383,0.00001897795],"category_scores_gemma":[0.0003230845,0.00008267031,0.00004261535,0.000276248,0.00002654696,0.0003631284,0.000007203249,0.0001355147,7.018058e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003143862,"about_ca_system_score_gemma":0.00001811691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.725135e-7,"about_ca_topic_score_gemma":2.836112e-7,"domain_scores_codex":[0.9992174,0.00002222325,0.000477853,0.00009314311,0.0001006102,0.00008878243],"domain_scores_gemma":[0.9993708,0.00005095174,0.0001832904,0.000116409,0.000252745,0.00002582858],"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":[0.00005908756,0.00002239116,0.00001681143,0.00005717095,0.00001687906,1.818445e-7,0.00006544092,0.9271825,0.0521968,0.0006588448,0.000007608644,0.01971626],"study_design_scores_gemma":[0.0003162397,0.000203728,0.000001412972,0.00002575682,0.00001602522,0.00001984084,0.0002280584,0.8819562,0.1129173,0.00402594,0.000223536,0.0000660208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2344395,0.0001917102,0.7640151,0.0004363993,0.0007673216,0.0000919926,0.000001508863,0.00004750672,0.000008990131],"genre_scores_gemma":[0.749006,0.0001360748,0.2506534,0.000002379425,0.0001661387,0.000003640374,0.000001604536,0.00001350407,0.0000173198],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5145665,"threshold_uncertainty_score":0.3371197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772490583728502,"score_gpt":0.317346164077878,"score_spread":0.279621258240593,"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."}}