{"id":"W2395660182","doi":"10.2118/180745-ms","title":"Technical Benchmarking: A Critical Step in Reducing Costs in a Low Price Environment","year":2016,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Scope (computer science); Consistency (knowledge bases); Computer science; Sizing; Metric (unit); Identification (biology); Key (lock); Control (management); Measure (data warehouse); Engineering design process; Risk analysis (engineering); Construction engineering; Systems engineering; Industrial engineering; Manufacturing engineering; Reliability engineering; Engineering; Operations management; Business; Mechanical engineering; Database; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07874378,0.001688062,0.001838694,0.004976503,0.005772226,0.02124527,0.007489615,0.003450216,0.01523153],"category_scores_gemma":[0.1475221,0.0009876216,0.000982341,0.005423091,0.004893584,0.02241082,0.01315952,0.005808348,0.005470647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006287357,"about_ca_system_score_gemma":0.02337315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003121195,"about_ca_topic_score_gemma":0.003271422,"domain_scores_codex":[0.9117345,0.03784749,0.004216008,0.003495848,0.03637408,0.006332074],"domain_scores_gemma":[0.81994,0.0398909,0.02030789,0.03787995,0.06601962,0.01596158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000291891,0.001768795,0.02646787,0.0009720161,0.0001319947,0.0007033006,0.004649376,0.01242933,0.006604032,0.1094869,0.08890495,0.7475896],"study_design_scores_gemma":[0.000229459,0.004267892,0.08066376,0.00428983,0.0001591239,0.001121648,0.0345515,0.03207992,0.01615349,0.2867727,0.5389481,0.0007626237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1555313,0.003260256,0.46773,0.1464355,0.003782097,0.003214411,0.000930004,0.009560945,0.2095555],"genre_scores_gemma":[0.6371834,0.001270931,0.3314655,0.008438039,0.0007858875,0.001571954,0.0009433659,0.003283906,0.0150571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07874378,"threshold_uncertainty_score":0.4164419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066757548421194,"score_gpt":0.2223778982870362,"score_spread":0.2117103228028243,"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."}}