{"id":"W1994483106","doi":"10.2118/139125-pa","title":"The Design and Development of a Drilling Simulator for Planning and Optimizing Under-Balanced Drilling Operations","year":2010,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Energy (Canada); University of Calgary","funders":"","keywords":"Drilling; Drill; Rate of penetration; Engineering; Simulation; Drilling engineering; Directional drilling; Drill bit; Drill pipe; Petroleum engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003719227,0.000114517,0.0002108107,0.0007628064,0.0002317803,0.00004586817,0.0001337548,0.0001409356,6.731654e-7],"category_scores_gemma":[0.00008278427,0.00009709896,0.00002408999,0.0001642432,0.00005871998,0.00007110331,0.00001056364,0.0003464433,1.277402e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005041956,"about_ca_system_score_gemma":0.0001617145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003930043,"about_ca_topic_score_gemma":0.001724939,"domain_scores_codex":[0.999218,0.000005193592,0.0003598164,0.00007828006,0.00006821474,0.0002704847],"domain_scores_gemma":[0.9994693,0.000157193,0.00006186828,0.00009366952,0.00008135356,0.0001366459],"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":[0.000004344954,0.000001290761,0.0001202591,0.00001807413,0.00005745841,0.000002800061,0.0002288448,0.9683651,0.02651328,0.000656125,0.00001233926,0.004020078],"study_design_scores_gemma":[0.0004882615,0.00006172092,0.00009187326,0.0001111525,0.00002219501,0.0001092498,0.0005087721,0.9620836,0.01903323,0.0002546581,0.01707206,0.0001631784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4048897,0.001159528,0.5933072,0.0002572414,0.0002681073,0.00006424118,0.000001527868,0.00003445157,0.00001804542],"genre_scores_gemma":[0.8374675,0.0001006401,0.1623443,0.000008262135,0.00004703124,0.000005095038,3.715045e-7,0.00002185578,0.000004965791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4325778,"threshold_uncertainty_score":0.3959581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193917783535931,"score_gpt":0.2113605516412999,"score_spread":0.1994213738059406,"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."}}