{"id":"W2014662809","doi":"10.2118/2007-086","title":"Drilling Simulation Improves Field Communication and Reduces Drilling Cost in Western Canada","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); Canadian Natural Resources; University of Calgary","funders":"","keywords":"Drilling; Petroleum engineering; Field (mathematics); Computer science; Geology; Engineering; Mechanical engineering","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":[0.0001855077,0.0001242834,0.0001115131,0.0002375269,0.00005490294,0.00008835771,0.0001972001,0.00006932521,0.00002209165],"category_scores_gemma":[0.00006431198,0.0001536737,0.00001409004,0.00007898703,0.00001678205,0.0001624427,0.00001217069,0.0002164847,0.000002253873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004527554,"about_ca_system_score_gemma":0.0001681911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5451791,"about_ca_topic_score_gemma":0.9771662,"domain_scores_codex":[0.9992004,0.00000783751,0.0002452613,0.0001422994,0.0001332931,0.0002708799],"domain_scores_gemma":[0.999411,0.0001848595,0.00002918245,0.0001250216,0.00006726087,0.0001826573],"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":[0.000004019876,0.000001920589,0.008412781,0.00001521826,0.00001670288,0.0000117556,0.0001931681,0.9827129,0.0008761458,0.0003692037,0.00006087157,0.007325372],"study_design_scores_gemma":[0.000176179,0.000006763798,0.01223769,0.0001495623,0.000003344804,0.000004213997,0.0001427825,0.9692889,0.001987373,0.00005423068,0.0157418,0.0002071301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726874,0.0002720979,0.01834369,0.0003513624,0.0006455096,0.00007418729,0.00001504768,0.00005635307,0.007554405],"genre_scores_gemma":[0.9992537,0.0001265266,0.0002216094,0.0001044494,0.00008374944,0.000006029394,0.00003463876,0.00001788749,0.0001514454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.431987,"threshold_uncertainty_score":0.6266633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107502469667114,"score_gpt":0.2216458193977797,"score_spread":0.2108955724310683,"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."}}