{"id":"W2198652754","doi":"10.1115/omae2015-41955","title":"Analysis of a Hysteresis IPM Motor Drive for Electric Submersible Pumps in Harsh Atlantic Offshore Environments","year":2015,"lang":"en","type":"article","venue":"Volume 10: Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Automotive engineering; Electric motor; Rotor (electric); Synchronous motor; Hysteresis; Torque; Control theory (sociology); Engineering; Marine engineering; Mechanical engineering; Computer science; Electrical engineering; Physics; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723057,0.0002547078,0.0002872901,0.0002932073,0.0002763562,0.0003401431,0.0002996632,0.000325682,0.002281805],"category_scores_gemma":[0.0004447385,0.0001584723,0.0002912962,0.0001257751,0.0002053344,0.000299124,0.0001687351,0.0002416935,0.0003194002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511672,"about_ca_system_score_gemma":0.0003745422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144651,"about_ca_topic_score_gemma":0.003315913,"domain_scores_codex":[0.9998624,0.000015676,0.000005130245,0.00002066783,0.00008316871,0.00001290476],"domain_scores_gemma":[0.9998087,0.0001011332,0.00002722201,0.00001155375,0.000046584,0.000004815907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003466565,0.0001027826,0.008636237,0.0006794161,0.0000849971,0.0006768261,0.000358898,0.658558,0.1917754,0.005372492,0.001313943,0.1320943],"study_design_scores_gemma":[0.000006653492,0.0002335803,0.005223993,0.00001251772,0.00001922106,0.0001222726,0.00006610834,0.975668,0.01575622,0.0004159875,0.002466111,0.000009300671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5334128,0.0007190208,0.4448659,0.0002304379,0.0000291469,0.000158608,0.0002194229,0.0008944476,0.0194703],"genre_scores_gemma":[0.9904709,0.0001296973,0.006639536,0.00001114683,0.000002432881,0.00002610691,0.00006118394,0.00002707491,0.002632004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004144651,"threshold_uncertainty_score":0.008241057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009932459448960373,"score_gpt":0.2105151111179645,"score_spread":0.2005826516690041,"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."}}