{"id":"W2022938241","doi":"10.1115/detc2008-49793","title":"Parameter Normalization in Multibody Dynamics","year":2008,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Normalization (sociology); Inertial frame of reference; Parametric statistics; Eigenvalues and eigenvectors; Control theory (sociology); Dimensionless quantity; Computer science; Multibody system; Estimation theory; Applied mathematics; Mathematics; Algorithm; Artificial intelligence; Physics; Classical mechanics; Control (management); Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001532536,0.001142059,0.00100754,0.00104607,0.0007086553,0.001561247,0.001179715,0.0009408806,0.003853694],"category_scores_gemma":[0.003944841,0.0004214435,0.0009544221,0.0008557531,0.003124247,0.004606725,0.002593687,0.002277583,0.001507243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437387,"about_ca_system_score_gemma":0.0004989699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003476136,"about_ca_topic_score_gemma":0.0001993154,"domain_scores_codex":[0.9986995,0.0003955217,0.00007273769,0.0003398469,0.0004281433,0.00006419777],"domain_scores_gemma":[0.9987854,0.0004345776,0.000174862,0.0003552678,0.0001820253,0.00006780766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000277148,0.00001959403,0.000219996,0.0001378032,0.00002205211,0.0001024316,0.0001963235,0.0301087,0.007619039,0.9216515,0.0009622613,0.03893256],"study_design_scores_gemma":[0.00001131136,0.0000749499,0.0003211244,0.00006979173,0.00001596156,0.0002514266,0.00008346655,0.1420543,0.00564802,0.8178772,0.0335265,0.0000659014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005666682,0.001637996,0.9822973,0.0002628891,0.0004178043,0.00002461706,0.00003255068,0.0001376234,0.009522444],"genre_scores_gemma":[0.5010862,0.006274957,0.4713153,0.0007216224,0.001528833,0.0004710587,0.0002231245,0.0008432507,0.01753574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003853694,"threshold_uncertainty_score":0.01289195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009292999145906516,"score_gpt":0.1876982800330091,"score_spread":0.1784052808871026,"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."}}