{"id":"W2254859574","doi":"10.4271/2008-01-0538","title":"Adaptive nth Order Lookup Table used in Transmission Double Swap Shift Control","year":2008,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Swap (finance); Lookup table; Computer science; Table (database); Algorithm; Data mining","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":[0.0002653153,0.0004359128,0.0004495402,0.0004518496,0.0004882912,0.0009793931,0.000777339,0.0004009051,0.01001065],"category_scores_gemma":[0.0008912702,0.0002080877,0.0001775668,0.0004684125,0.0002936193,0.0005103819,0.0003160552,0.0005127259,0.001741999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005150599,"about_ca_system_score_gemma":0.0005828997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005515313,"about_ca_topic_score_gemma":0.006546353,"domain_scores_codex":[0.9997514,0.00003316514,0.00002361253,0.00006048273,0.000106329,0.00002505002],"domain_scores_gemma":[0.9997446,0.0000893235,0.00002175946,0.00004565689,0.00008522617,0.00001335579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000888314,0.0001441548,0.001353585,0.0003362655,0.00005154784,0.0005565571,0.0003301178,0.1382464,0.07580058,0.03258998,0.0126539,0.7370486],"study_design_scores_gemma":[0.00005886296,0.0001953097,0.0004842893,0.0000350812,0.00001864522,0.0002042,0.00003142476,0.9516365,0.02421706,0.005331092,0.01775177,0.00003572559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02393892,0.0005307525,0.9622339,0.0001120069,0.0003224932,0.0001131134,0.0002101363,0.004118999,0.008419745],"genre_scores_gemma":[0.6668481,0.0002672925,0.3216617,0.0001537959,0.0000879719,0.0001936539,0.0004702727,0.0001822002,0.01013496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01001065,"threshold_uncertainty_score":0.03348899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224432778946108,"score_gpt":0.216024004522592,"score_spread":0.203779676733131,"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."}}