{"id":"W1886561810","doi":"10.3968/j.aped.1925543820110101.003","title":"Reducing Consumed Energy while Drilling an Oil Well through a Deep Rig Time Analysis","year":2011,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lost circulation; Drilling; Petroleum engineering; Drill pipe; Engineering; Drilling fluid; Fossil fuel; Oil field; Drill; Marine engineering; Oil well; Drilling engineering; Mechanical engineering; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002478699,0.0004552041,0.0002749025,0.0009869457,0.0001911041,0.0004508381,0.0002532763,0.000205242,0.001099012],"category_scores_gemma":[0.0008137007,0.0001540901,0.0003246599,0.0006770235,0.0002226292,0.0007834018,0.0002256471,0.000214369,0.0001498703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004390901,"about_ca_system_score_gemma":0.0003727334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988012,"about_ca_topic_score_gemma":0.01007411,"domain_scores_codex":[0.999817,0.00003122845,0.00001423451,0.00002391806,0.00009437186,0.00001933501],"domain_scores_gemma":[0.9995841,0.0001753978,0.00007454315,0.00002771158,0.0001228296,0.00001526401],"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":[0.001196524,0.0003015596,0.1093872,0.0006132427,0.0001093265,0.0004716653,0.0006928034,0.347058,0.1795764,0.002101981,0.0007642366,0.3577271],"study_design_scores_gemma":[0.00002151188,0.001085299,0.1284202,0.00004382726,0.00008241487,0.0002472195,0.001191442,0.7658432,0.09770036,0.002677903,0.002601606,0.00008495789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223997,0.0001590332,0.07417019,0.00007569325,0.000009761076,0.00004192327,0.0002545705,0.000154333,0.002734853],"genre_scores_gemma":[0.9870654,0.00008469816,0.01164515,0.000006102171,0.000001257887,0.00001203987,0.0001482264,0.00001198973,0.001025138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004988012,"threshold_uncertainty_score":0.009917974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727510069727801,"score_gpt":0.2096854363994128,"score_spread":0.1924103357021348,"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."}}