{"id":"W2074406683","doi":"10.2118/0512-0083-jpt","title":"New Approach to Deepwater-Drilling-Data Analysis Enhances Real-Time Capabilities","year":2012,"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":"Drilling; Real-time data; Visualization; Wellhead; Computer science; Geology; Petroleum engineering; Engineering; World Wide Web; Data mining","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":[0.000894538,0.0001657485,0.0005281339,0.001334742,0.0000310293,0.00002887136,0.0007291355,0.0001919718,0.0001008999],"category_scores_gemma":[0.0001816446,0.0001430309,0.0001217022,0.000820125,0.00002612592,0.000298123,0.00009331178,0.0003144515,0.00004730334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008301538,"about_ca_system_score_gemma":0.0000227303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282807,"about_ca_topic_score_gemma":0.000002204858,"domain_scores_codex":[0.9986903,0.00004043013,0.0005277674,0.0001428519,0.0002244763,0.0003741682],"domain_scores_gemma":[0.9988654,0.000099875,0.0001025884,0.0006589625,0.00007307124,0.0002000993],"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":[0.000009016084,0.00002394521,0.002857011,0.00002627778,0.0004851458,0.00000154718,0.0001978249,0.9792409,0.01367451,0.0002180338,0.001261124,0.002004649],"study_design_scores_gemma":[0.0008791233,0.0002021412,0.004303483,0.00004551766,0.0009748645,0.0001463563,0.0006611291,0.911988,0.02267043,0.0009411449,0.05645302,0.0007347573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4439878,0.0004909634,0.5536201,0.0001179671,0.0002266233,0.00002659065,0.000004346045,0.0001753993,0.001350137],"genre_scores_gemma":[0.6406584,0.0001072138,0.3583747,0.000004269477,0.0003133495,0.000001982946,0.000005376553,0.00002306963,0.000511595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1966706,"threshold_uncertainty_score":0.5832633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163466456143765,"score_gpt":0.2800555705849799,"score_spread":0.2584209060235423,"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."}}