{"id":"W2917328933","doi":"10.2118/0917-0058-jpt","title":"Technology Focus: Reservoir Performance and Monitoring (September 2017)","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Sustainability; Emerging technologies; Petroleum industry; Performance indicator; Computer science; Environmental economics; Operations management; Business; Engineering; Marketing; Economics","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":[0.002570906,0.001043321,0.0005182227,0.002624052,0.0008770758,0.005113998,0.001174865,0.002509473,0.1149696],"category_scores_gemma":[0.003899669,0.0003992392,0.0005158419,0.00202874,0.0004474734,0.003346808,0.001933079,0.00208265,0.08306721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750953,"about_ca_system_score_gemma":0.004017785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802534,"about_ca_topic_score_gemma":0.004180526,"domain_scores_codex":[0.9978566,0.0001282131,0.00008456349,0.0002080848,0.001486775,0.0002357755],"domain_scores_gemma":[0.9956623,0.0003264053,0.0002329783,0.0001701352,0.002965705,0.0006424726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006723916,0.00005920506,0.0003995271,0.0004873268,0.000008594096,0.0001043759,0.00005134357,0.0002892628,0.002169705,0.004220673,0.856352,0.1357906],"study_design_scores_gemma":[0.000009242054,0.00007440273,0.001133724,0.0003026573,0.000005788479,0.00007313999,0.00005186713,0.0002003395,0.00161646,0.001568617,0.9949507,0.00001309632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00575758,0.06452176,0.01444626,0.04394316,0.1095265,0.0009236095,0.01069129,0.003992775,0.7461971],"genre_scores_gemma":[0.02644548,0.04676897,0.003830486,0.006796735,0.02948376,0.0004075076,0.009574869,0.001227247,0.8754649],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1149696,"threshold_uncertainty_score":0.3846117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794535270240455,"score_gpt":0.2837685856452756,"score_spread":0.2658232329428711,"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."}}