{"id":"W2071713133","doi":"10.2118/134528-ms","title":"Getting Smarter and Hotter With ESPs for SAGD","year":2010,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Instrumentation (computer programming); Reliability (semiconductor); Test (biology); Fluid dynamics; Computer science; Flow (mathematics); Environmental science; Simulation; Petroleum engineering; Nuclear engineering; Mechanical engineering; Engineering; Geology; Operating system; Physics; Mechanics","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":[0.0001119226,0.0001065256,0.000108399,0.00004658459,0.00006157146,0.00005223509,0.0000363844,0.0001091543,0.00003087446],"category_scores_gemma":[0.00001530093,0.00008618096,0.00001657696,0.00004495825,0.00009326635,0.0002276116,0.0000172511,0.0002079434,0.000002507515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004245052,"about_ca_system_score_gemma":0.000005487093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005422256,"about_ca_topic_score_gemma":0.00004394269,"domain_scores_codex":[0.9994914,0.000004477679,0.0001112655,0.0001829147,0.00005981371,0.0001501231],"domain_scores_gemma":[0.9997346,0.00001966928,0.00001622278,0.0001046084,0.00007024017,0.00005467275],"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":[0.0001164573,0.00006089647,0.001624729,0.0003298943,0.00003055331,0.00000672908,0.000525083,0.000003582806,0.5461442,0.01634819,0.01869065,0.416119],"study_design_scores_gemma":[0.001836915,0.0016977,0.02770233,0.0003506585,0.0001127311,0.0003951195,0.0005798955,0.001407032,0.7817653,0.1108876,0.07164039,0.001624318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688623,0.00006071889,0.02246284,0.002414086,0.0001292409,0.0003933637,0.00004503232,0.0009613334,0.004671118],"genre_scores_gemma":[0.9907717,0.00005548363,0.008754131,0.0001316236,0.0001473938,0.00004965014,0.00001372028,0.00001419429,0.00006207521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4144947,"threshold_uncertainty_score":0.3514358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008289444863630995,"score_gpt":0.2217671083213329,"score_spread":0.2134776634577019,"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."}}