{"id":"W2139173173","doi":"10.1109/tim.2009.2022109","title":"Prestiction Friction Modeling and Position Control in an Actuated Rotary Arm","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"","keywords":"Compensation (psychology); Position (finance); Control theory (sociology); Dynamical friction; Motion control; Friction torque; Engineering; Control engineering; Computer science; Control (management); Torque; Robot; Physics; 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":[0.0001829352,0.0001144324,0.0001127045,0.0001247068,0.00008263482,0.00005127875,0.00002195426,0.0000620689,0.000005887111],"category_scores_gemma":[9.11063e-7,0.0001199902,0.00002032507,0.00007299037,0.000004728373,0.0002719687,1.203587e-7,0.0001117381,0.000001280988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966581,"about_ca_system_score_gemma":0.000007838202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004648812,"about_ca_topic_score_gemma":0.000177636,"domain_scores_codex":[0.9992511,0.00003747091,0.0002284955,0.0001514079,0.0002127913,0.0001187876],"domain_scores_gemma":[0.999788,0.000005662211,0.00002142575,0.00006459899,0.00004103297,0.00007922189],"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":[0.0001619643,0.000195826,0.00002904738,0.00001964124,0.00003454555,0.000001101608,0.0002582389,0.6708353,0.1178008,0.0001856868,0.000001746828,0.2104761],"study_design_scores_gemma":[0.001843505,0.0003666842,0.001129017,0.00004815915,0.00003663712,0.00000508672,0.0001078108,0.9942706,0.001741591,0.0003262527,0.000005456784,0.0001191684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4415714,0.0000289585,0.5577002,0.0001037547,0.0002026061,0.0002619437,0.000004087761,0.00007423459,0.0000527728],"genre_scores_gemma":[0.9995455,0.00008973496,0.0001567252,0.0001254698,0.00002019187,0.00004709499,0.000004263035,0.000009171674,0.000001911507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.557974,"threshold_uncertainty_score":0.489306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739348035513348,"score_gpt":0.2154300974689143,"score_spread":0.1980366171137808,"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."}}