{"id":"W4386994590","doi":"10.2118/214728-ms","title":"Field Validation: ESP Reliability Monitoring and Production Optimization by Trending Condition and Performance Data Extracted from ESP Surface Electrical Signals","year":2023,"lang":"en","type":"article","venue":"","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Condition monitoring; Field (mathematics); Computer science; Warning system; Vibration; Field trial; Power (physics); Engineering; Electrical engineering; Acoustics; Telecommunications","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":[0.003626967,0.0008063691,0.0007487686,0.0008492707,0.0007283443,0.0006234273,0.001184909,0.000841375,0.001583396],"category_scores_gemma":[0.00353427,0.0002674438,0.0003836972,0.0007229866,0.0006377207,0.000644588,0.0007296521,0.0007236766,0.0004192131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380571,"about_ca_system_score_gemma":0.001419903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02655337,"about_ca_topic_score_gemma":0.04255302,"domain_scores_codex":[0.9984832,0.0004048352,0.00008491498,0.0002562802,0.0006341406,0.0001365632],"domain_scores_gemma":[0.9952682,0.0008198559,0.0003325286,0.0005884849,0.002785547,0.0002053643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008007196,0.01403268,0.09366134,0.0008751368,0.0004126734,0.001103351,0.002186045,0.1076542,0.4840874,0.0006690489,0.004803935,0.2825069],"study_design_scores_gemma":[0.002049755,0.07114291,0.3020651,0.0001016336,0.0002749398,0.000758331,0.002865556,0.1757317,0.4309898,0.0006886985,0.01308352,0.0002480536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822925,0.00007114348,0.01424896,0.00006840783,0.00002345088,0.0006858398,0.0006744497,0.0003982748,0.001537014],"genre_scores_gemma":[0.9799468,0.00004824927,0.01642256,0.00004338512,0.000007882698,0.0002504487,0.0008240999,0.00004606252,0.002410509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02655337,"threshold_uncertainty_score":0.05279762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110069964919627,"score_gpt":0.2625587747833369,"score_spread":0.2414580751341406,"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."}}