{"id":"W2158923164","doi":"10.1109/ias.1991.178147","title":"Modeling and performance of linear induction motor with saturable primary","year":2002,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Yoke (aeronautics); Linear induction motor; Representation (politics); Computation; Induction motor; Computer science; Primary (astronomy); Saturation (graph theory); Topology (electrical circuits); Electronic engineering; Algorithm; Engineering; Physics; Mathematics; Simulation; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001689365,0.000359707,0.0003622969,0.0001831539,0.0002023184,0.0005036809,0.0005079297,0.0004430681,0.001760633],"category_scores_gemma":[0.0003871662,0.0002055761,0.0003157727,0.0001371751,0.000250312,0.0004680592,0.0002117248,0.000189593,0.0003888087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663853,"about_ca_system_score_gemma":0.0003843705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773465,"about_ca_topic_score_gemma":0.002072768,"domain_scores_codex":[0.9999082,0.0000226935,0.000003314332,0.00001551552,0.00003783254,0.00001240294],"domain_scores_gemma":[0.9998952,0.00003806421,0.00002339182,0.00001067215,0.00002625818,0.000006489006],"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":[0.00008664925,0.00002023894,0.0006002505,0.00008307245,0.00001396907,0.0001131534,0.00008550379,0.9675426,0.02082237,0.002937644,0.0003103567,0.007384207],"study_design_scores_gemma":[0.000002493995,0.00002544275,0.0001381176,0.000002016354,0.000002829686,0.0000120244,0.000005766308,0.9978338,0.001468175,0.0002487311,0.0002585386,0.000002062376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4126282,0.0004956412,0.5447471,0.0002414308,0.0000290652,0.00008000613,0.0002153133,0.001380433,0.04018285],"genre_scores_gemma":[0.9868023,0.0001169665,0.007599846,0.00001467493,0.000004757198,0.00003098945,0.00005632203,0.00003830199,0.005335828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003773465,"threshold_uncertainty_score":0.007502973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021692449578449,"score_gpt":0.1615679838954527,"score_spread":0.1513510593996682,"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."}}