{"id":"W4248302120","doi":"10.2172/840358","title":"EXPLOITATION AND OPTIMIZATION OF RESERVOIR PERFORMANCE IN HUNTON FORMATION, OKLAHOMA","year":2005,"lang":"en","type":"report","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Field (mathematics); Oil field; Oil production; Methane; Fossil fuel; Quarter (Canadian coin); Production (economics); Principal (computer security); Environmental science; Geology; Computer science; Engineering; Geography; Mathematics; Ecology; Archaeology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002396949,0.0002315482,0.0002369104,0.0002853457,0.0005868239,0.0006150975,0.0003905571,0.0003134697,0.0007207508],"category_scores_gemma":[0.0004164875,0.0002054574,0.0001729529,0.0003207701,0.0002811615,0.0003988742,0.0003639258,0.0001696301,0.00008208738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338386,"about_ca_system_score_gemma":0.001529105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1137229,"about_ca_topic_score_gemma":0.2510011,"domain_scores_codex":[0.9999124,0.00001172033,0.000004496299,0.00001433332,0.00001472754,0.00004221424],"domain_scores_gemma":[0.9998621,0.00004560255,0.00002266559,0.00001100393,0.00002655193,0.00003212842],"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":[0.0009206748,0.0007559727,0.1339444,0.0001322089,0.0001215571,0.0008677783,0.0004081988,0.7257232,0.07614071,0.001016297,0.001327363,0.05864159],"study_design_scores_gemma":[0.00008846682,0.001127801,0.1369065,0.00001792711,0.0001080238,0.00008433999,0.00134741,0.8174545,0.04077063,0.0003673796,0.001678572,0.00004841556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988132,0.00001494045,0.0003269424,0.00002149184,7.655133e-7,0.000007196179,0.00004485738,0.00002095503,0.0007498012],"genre_scores_gemma":[0.9985006,0.00001859837,0.0007998759,0.000003735999,2.684422e-7,0.000007940081,0.00005981043,0.000003263778,0.0006059816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1137229,"threshold_uncertainty_score":0.2261218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522451834030052,"score_gpt":0.2901108121247596,"score_spread":0.2548862937844592,"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."}}