{"id":"W2032238463","doi":"10.2118/74466-ms","title":"Project Management and Technology Provide Enhanced Performance for Shallow Horizontal Wells","year":2002,"lang":"en","type":"article","venue":"All Days","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Drilling; Schedule; Drill; Directional drilling; Engineering; Hay; Petroleum engineering; Project management; Environmental science; Computer science; Mechanical engineering; Operating system","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":[0.00004307691,0.0001270655,0.0001124492,0.0001216448,0.00003440371,0.000018493,0.00009635775,0.00006489348,0.000007320481],"category_scores_gemma":[0.000003833703,0.0001288883,0.00002043385,0.0001190314,0.00001558599,0.00008183729,0.00002519534,0.00008296106,0.00002576194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002658359,"about_ca_system_score_gemma":0.000001183681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001707403,"about_ca_topic_score_gemma":0.000002339434,"domain_scores_codex":[0.9994048,0.000001464754,0.00011371,0.0001596671,0.00005629719,0.000264057],"domain_scores_gemma":[0.9997966,0.00001175412,0.00001070632,0.0001439181,0.000009960231,0.00002706988],"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":[0.00003752431,0.0001725268,0.001429596,0.005209385,0.0009590952,0.00004767482,0.00209195,0.1254321,0.06006006,0.005128958,0.02958645,0.7698447],"study_design_scores_gemma":[0.000656213,0.0001779199,0.00012571,0.00009977999,0.00003831634,0.00001143329,0.00005906434,0.8037382,0.0275429,0.00007991197,0.1671034,0.0003672305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728511,0.00385409,0.0746635,0.0001911393,0.0009442141,0.001876311,0.00001771754,0.002537273,0.04306471],"genre_scores_gemma":[0.9918857,0.000876558,0.005878994,0.00001343629,0.00005411382,0.0001563883,0.000005120914,0.00003596556,0.001093745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7694774,"threshold_uncertainty_score":0.5255912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00994465516308312,"score_gpt":0.1883019669379818,"score_spread":0.1783573117748987,"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."}}