{"id":"W2915830234","doi":"10.2118/1015-0084-jpt","title":"Technology Focus: Data Management and Communication (October 2015)","year":2015,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Automation; Profitability index; Computer science; Big data; Supply chain; Business intelligence; Analytics; Data science; Upstream (networking); Process management; Business; Knowledge management; Engineering; Telecommunications; Marketing","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":[0.0006880375,0.0001161491,0.0002568615,0.0009737032,0.00002644391,0.00002086072,0.0008033746,0.0002087118,0.000005592376],"category_scores_gemma":[0.000132407,0.0001071606,0.00002042747,0.000395208,0.00007890384,0.0002075105,0.0003070632,0.0004439652,0.000007350741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007452855,"about_ca_system_score_gemma":0.00001288058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001326887,"about_ca_topic_score_gemma":0.000002778811,"domain_scores_codex":[0.9991568,0.00002764323,0.0003810876,0.0001068815,0.0001525436,0.0001750006],"domain_scores_gemma":[0.9988549,0.00003564749,0.0001056154,0.0008278699,0.0001038677,0.00007206415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007550405,0.0001385584,0.016604,0.0001980876,0.0008487435,0.0001992208,0.0002062086,0.7233649,0.00236483,0.0306689,0.04588537,0.1794456],"study_design_scores_gemma":[0.003900551,0.0003464407,0.001026542,0.0001824346,0.0001544165,0.0009626875,0.001184527,0.4075547,0.002309824,0.05399055,0.5279063,0.0004810146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5186607,0.03658321,0.4302759,0.008573382,0.0006490736,0.0001433995,0.000009729524,0.0008736453,0.004230913],"genre_scores_gemma":[0.8126628,0.001119897,0.1860021,0.000007433217,0.00004002073,0.000003416265,0.000002921755,0.00002437097,0.0001370553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4820209,"threshold_uncertainty_score":0.4369883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060619537323712,"score_gpt":0.3000718910417152,"score_spread":0.2694656956684781,"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."}}