{"id":"W2076364992","doi":"10.4271/2011-01-0732","title":"Math-Based Modeling and Parametric Sensitivity Analysis of Torque Converter Performance Characteristics","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sensitivity (control systems); Parametric statistics; Torque; Torque converter; Computer science; Parametric model; Control theory (sociology); Electronic engineering; Mathematics; Engineering; Physics; Statistics; Artificial intelligence; Control (management); Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006421883,0.0005565303,0.001255476,0.0007910538,0.0001334249,0.00004228147,0.0003390845,0.0005280497,0.0001368871],"category_scores_gemma":[0.0002390248,0.0004981044,0.0004747815,0.00234359,0.0003790827,0.0002636389,0.00009145173,0.0007046074,0.00001158084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510999,"about_ca_system_score_gemma":0.00003716743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006278828,"about_ca_topic_score_gemma":0.004992154,"domain_scores_codex":[0.9971309,0.0001036366,0.0009289546,0.0006659743,0.0005222053,0.0006482737],"domain_scores_gemma":[0.9982491,0.000322508,0.0001563274,0.0008802027,0.0001162841,0.0002755658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001873301,0.0002589909,0.005108367,0.0001677019,0.0006643825,0.00004101813,0.00004134106,0.001236153,0.9729802,0.00112313,0.00005180955,0.0181396],"study_design_scores_gemma":[0.0002922332,0.0003687068,0.9884643,0.00007499759,0.001090213,0.00001393225,0.00001148321,0.00856181,0.0003452533,0.00006621105,0.0001549088,0.0005559789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947932,0.0001816523,0.000274038,0.00006558205,0.00006394329,0.0003476829,0.00004536961,0.001032452,0.003196031],"genre_scores_gemma":[0.9956121,0.0005468209,0.003293295,0.000274003,0.00003586576,0.00008941726,0.00003832956,0.00007433601,0.00003577195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9833559,"threshold_uncertainty_score":0.999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487665507738708,"score_gpt":0.2060710276706447,"score_spread":0.1911943725932576,"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."}}