{"id":"W1989850047","doi":"10.2118/2003-006","title":"Application of Intelligent System (DES PCP) For Monitoring Progressing Cavity Pumps","year":2003,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering","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":[0.0006262619,0.0004436044,0.0002728275,0.0009480458,0.000363449,0.0006049186,0.0005526359,0.0003855004,0.00153761],"category_scores_gemma":[0.001264851,0.0001858779,0.0001639792,0.0005427424,0.0002219585,0.0004579087,0.0003970929,0.0002696897,0.0003185524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068269,"about_ca_system_score_gemma":0.0009379922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262171,"about_ca_topic_score_gemma":0.01428279,"domain_scores_codex":[0.9993242,0.0001009136,0.00003796473,0.0001680348,0.0003211173,0.00004775487],"domain_scores_gemma":[0.9988964,0.0001990386,0.00015776,0.00007611189,0.0006023374,0.00006843173],"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":[0.001782691,0.0004093593,0.1232107,0.0004606853,0.0001112319,0.00124417,0.0008732514,0.05894275,0.2908278,0.001781569,0.007729791,0.512626],"study_design_scores_gemma":[0.0001938375,0.002047275,0.1105238,0.00006810015,0.0001548407,0.0008065946,0.0005895148,0.5994015,0.2643004,0.0009015367,0.02087408,0.0001385497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658516,0.0004590508,0.1124013,0.0004211973,0.00008288379,0.0007335947,0.001263373,0.00681015,0.0119767],"genre_scores_gemma":[0.9652857,0.0001013373,0.03229292,0.00004670853,0.00001129415,0.00005122947,0.0002553744,0.00001513445,0.001940332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262171,"threshold_uncertainty_score":0.02509648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139049584870946,"score_gpt":0.2505387688324646,"score_spread":0.2291482729837552,"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."}}