{"id":"W4313304350","doi":"10.2118/1122-0054-jpt","title":"Technology Focus: Drilling and Completion Fluids (November 2022)","year":2022,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Drilling fluid; Petroleum engineering; Drilling; Lost circulation; Underbalanced drilling; Rheology; Well control; Completion (oil and gas wells); Wellbore; Fossil fuel; Environmental science; Offshore drilling; High pressure; Geology; Waste management; Engineering; Mechanical engineering; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082141,0.0001651035,0.0003641428,0.001493971,0.0001311904,0.00001540749,0.0002969719,0.0001651546,0.00006901273],"category_scores_gemma":[0.00003949192,0.0001752743,0.00006842092,0.0006531603,0.00007759746,0.00008174042,0.0001380226,0.001042294,0.000004800651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572265,"about_ca_system_score_gemma":0.00001845352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001440398,"about_ca_topic_score_gemma":0.000001528357,"domain_scores_codex":[0.9988954,0.00001423086,0.000438274,0.0001340392,0.0002105352,0.0003075229],"domain_scores_gemma":[0.9995516,0.00003217642,0.000111751,0.0001947816,0.00005783551,0.00005186991],"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":[0.00003435047,0.0000787799,0.005821776,0.00008936915,0.0003089324,0.0002762084,0.0001215658,0.6840659,0.2433576,0.01171841,0.003108689,0.05101842],"study_design_scores_gemma":[0.002964583,0.001536218,0.0005403074,0.0001549703,0.0001644528,0.008616033,0.001870234,0.513396,0.04520773,0.02079882,0.4037522,0.0009983791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732719,0.01213321,0.1091272,0.002497462,0.001349108,0.00006717133,0.000007748061,0.0007720907,0.0007741439],"genre_scores_gemma":[0.9963688,0.0004389409,0.002951414,0.00001733381,0.0001078259,0.00001048097,0.000001130511,0.00004420277,0.00005988796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4006435,"threshold_uncertainty_score":0.7147478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003994386241972883,"score_gpt":0.1836801262773282,"score_spread":0.1796857400353553,"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."}}