{"id":"W4245796564","doi":"10.2523/86604-ms","title":"Improving Energy Efficiency in E&P Operations","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Greenhouse gas; Citation; Computer science; Sustainability; Exhibition; Energy consumption; Library science; Engineering","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":[0.0002873122,0.0001035305,0.0001257488,0.0002017013,0.00005191343,0.00004177287,0.00003687794,0.00004552802,0.00000840561],"category_scores_gemma":[0.00003342627,0.0001057389,0.000008658366,0.00008291122,0.00003749492,0.0003634202,0.00001556463,0.0001053376,6.925004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007857611,"about_ca_system_score_gemma":0.00001117156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001369429,"about_ca_topic_score_gemma":0.0000668549,"domain_scores_codex":[0.9992405,0.000006709089,0.000310306,0.0002052615,0.0001318218,0.0001053924],"domain_scores_gemma":[0.9998381,0.00001090616,0.00003939287,0.00003477165,0.00002718518,0.0000496168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004329996,0.00004190127,0.00008378022,0.0001176503,0.000003785899,1.242754e-7,0.001430973,0.4485799,0.003310086,0.01865496,0.000002909282,0.5277306],"study_design_scores_gemma":[0.003054189,0.000440441,0.002034395,0.0007075031,0.000008865502,0.0000248343,0.002337291,0.6484126,0.004258009,0.333198,0.0048926,0.0006311626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6715952,0.001642498,0.04166257,0.2795281,0.0007662297,0.000276712,0.00001392833,0.0001249403,0.004389888],"genre_scores_gemma":[0.5404641,0.4526949,0.006447381,0.00005006167,0.00009644662,0.00003123813,0.00002370228,0.00001365027,0.0001785351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5270994,"threshold_uncertainty_score":0.4311906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706257534266567,"score_gpt":0.2706323220630009,"score_spread":0.2335697467203352,"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."}}