{"id":"W4409394500","doi":"10.1007/s41315-025-00447-1","title":"Accuracy design of 6-UPS Gough-Stewart platform by using geometric error modelling and sensitivity analysis","year":2025,"lang":"en","type":"article","venue":"International Journal of Intelligent Robotics and Applications","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensitivity (control systems); Stewart platform; Computer science; Mathematics; Statistics; Engineering; Physics; Kinematics; Electronic engineering; Classical mechanics","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":[0.0006713326,0.0009094125,0.0007506619,0.0006146494,0.0006361994,0.0007310417,0.0009787994,0.0008324565,0.002258899],"category_scores_gemma":[0.001165978,0.0004986682,0.0006848302,0.0002848825,0.0004240339,0.0005756922,0.001081516,0.0004913693,0.0006554823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662594,"about_ca_system_score_gemma":0.0009773602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529622,"about_ca_topic_score_gemma":0.001930527,"domain_scores_codex":[0.9993868,0.0001147489,0.00002933652,0.00009768915,0.0003097599,0.00006168102],"domain_scores_gemma":[0.9995616,0.00007906737,0.00009010052,0.00005651515,0.0001929187,0.00001981212],"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":[0.000181739,0.00002518769,0.00125156,0.0002743625,0.00004860721,0.0002744402,0.0001964273,0.9003869,0.03594957,0.009855541,0.0006432667,0.05091251],"study_design_scores_gemma":[0.00002009327,0.0001892416,0.0007579271,0.00002420574,0.00002492041,0.00009946676,0.00003706437,0.9858417,0.009414612,0.001200002,0.002371547,0.00001910749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0405483,0.0002488855,0.9504429,0.0001237985,0.00006696364,0.0000710745,0.00003851876,0.0003525256,0.008107034],"genre_scores_gemma":[0.9328832,0.0001669761,0.06359576,0.00002436878,0.00001773589,0.0001089361,0.00006238639,0.00003586173,0.003104777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003529622,"threshold_uncertainty_score":0.007556736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263805002384784,"score_gpt":0.2846664887219097,"score_spread":0.2520284386980619,"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."}}