{"id":"W4320500442","doi":"10.2139/ssrn.4356294","title":"Feedback Linearization Control for a Class of Transformerless Common-Ground Vsi","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Class (philosophy); Control (management); Control theory (sociology); Common ground; Feedback linearization; Linearization; Computer science; Mathematics; Nonlinear system; Physics; Psychology; Social psychology; Artificial intelligence","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":[0.0005383183,0.00009753244,0.0002066431,0.0001631322,0.00008455334,0.00002759401,0.0001111114,0.00006862183,0.00001390995],"category_scores_gemma":[0.00001374432,0.00009233037,0.0001550297,0.0003575486,0.00001793312,0.0001332193,0.000002586014,0.0003858802,0.00001263491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057072,"about_ca_system_score_gemma":0.0002184264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008939464,"about_ca_topic_score_gemma":0.0005249249,"domain_scores_codex":[0.9987085,0.00002083187,0.0003052595,0.00007235153,0.0001358763,0.0007571625],"domain_scores_gemma":[0.9997038,0.00005270471,0.00005780687,0.0000762266,0.00006685561,0.00004264692],"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":[0.0001469058,0.00005462338,0.001230248,0.0001149677,0.001257773,0.000001298019,0.0005382105,0.8117911,0.005909854,0.1293936,0.0004298512,0.04913157],"study_design_scores_gemma":[0.001450619,0.0001093234,0.000362693,0.00001140524,0.0001023452,0.00001820587,0.0007628676,0.9704811,0.0001640497,0.02564202,0.0007751739,0.0001201774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09045443,0.0002624035,0.9081542,0.0003524614,0.000114363,0.0001386368,0.00001582424,0.0001009446,0.000406676],"genre_scores_gemma":[0.9981536,0.00106906,0.0000682484,0.00002683378,0.0001062163,0.000009882177,0.00004231139,0.00002698766,0.0004968882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.908086,"threshold_uncertainty_score":0.3765123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006044283325664399,"score_gpt":0.2214928930127703,"score_spread":0.2154486096871059,"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."}}