{"id":"W2918022921","doi":"10.2118/1213-0110-jpt","title":"Technology Focus: Bit Technology and Bottomhole Assemblies (December 2013)","year":2013,"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":"Husky Energy (Canada)","funders":"","keywords":"Workflow; Process (computing); Computer science; Drilling; Workforce; Focus (optics); Prioritization; Operations research; Risk analysis (engineering); Engineering management; Operations management; Process management; Engineering; Business; Mechanical engineering; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001909735,0.0003427259,0.0006628906,0.005000114,0.00007698244,0.0000543475,0.0005696829,0.0008909474,0.00006479031],"category_scores_gemma":[0.0001233183,0.0003133784,0.00009425121,0.001543492,0.0002937752,0.0003123107,0.0001499242,0.001241068,0.0001292883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009452588,"about_ca_system_score_gemma":0.00002804387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006446061,"about_ca_topic_score_gemma":0.000009897781,"domain_scores_codex":[0.9982344,0.00001037663,0.0006987472,0.000234164,0.00019332,0.000629026],"domain_scores_gemma":[0.9989913,0.00004811702,0.0002005378,0.0004336598,0.0002130193,0.0001134424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003266078,0.0002824893,0.04308535,0.0003978979,0.001407118,0.0005350062,0.000135903,0.068149,0.4558259,0.04266201,0.04344891,0.3440378],"study_design_scores_gemma":[0.005444046,0.002383264,0.002325256,0.0009834371,0.000384095,0.01318558,0.002891001,0.1322528,0.2595533,0.1452568,0.4325926,0.002747856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468964,0.01472354,0.02465359,0.009560139,0.0007476268,0.0001271359,0.000002830791,0.001574782,0.001713954],"genre_scores_gemma":[0.9896016,0.001481569,0.008374899,0.00001987569,0.0001227925,0.00002934091,4.802421e-7,0.00007953674,0.0002898646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3891437,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003607007086493502,"score_gpt":0.1874884214345812,"score_spread":0.1838814143480877,"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."}}