{"id":"W2474765308","doi":"10.1115/1.4033658","title":"A Continuous Velocity-Based Friction Model for Dynamics and Control With Physically Meaningful Parameters","year":2016,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Control theory (sociology); Slipping; Dynamical friction; Classification of discontinuities; Sensitivity (control systems); Differentiable function; System dynamics; Computer science; Mechanics; Engineering; Mathematics; Control (management); Physics; Mechanical engineering; Mathematical analysis; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023514,0.0001406305,0.0003133353,0.00007055589,0.00005171853,0.00004524664,0.00006675943,0.0000618538,4.166716e-7],"category_scores_gemma":[0.00002278015,0.00009159879,0.00007512791,0.00004833315,0.00003894811,0.000117172,0.000006146237,0.00009693396,2.841747e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090222,"about_ca_system_score_gemma":0.00005303003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000152638,"about_ca_topic_score_gemma":0.00002705517,"domain_scores_codex":[0.9991969,0.00001711562,0.0003398603,0.0001035324,0.0001999151,0.0001427153],"domain_scores_gemma":[0.9990523,0.0003509047,0.0001727937,0.00004544812,0.0002725351,0.0001060615],"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":[0.0003745481,0.00004902012,0.0002715788,0.00005095176,0.0001755323,0.000003542147,0.00002669112,0.9618146,0.000201361,0.008278456,0.00000843321,0.02874521],"study_design_scores_gemma":[0.003411242,0.0003744661,0.0002510776,0.00009502198,0.00007330813,0.00003769367,0.00001619418,0.9891492,0.000004934588,0.006432076,0.00001639206,0.0001383725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3204072,0.00002817826,0.6788092,0.0004703987,0.00006303086,0.0001065789,0.00009094171,0.00001433341,0.0000101301],"genre_scores_gemma":[0.9181601,0.00001278437,0.0816129,0.00008233915,0.00007053596,0.00000498695,0.00001177039,0.00002319175,0.00002141333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5977529,"threshold_uncertainty_score":0.373529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100272868504355,"score_gpt":0.1921126957073645,"score_spread":0.1870124228388602,"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."}}