{"id":"W2109966979","doi":"10.1109/tra.2003.819603","title":"Workspace analysis and optimal design of a 3-leg 6-DOF parallel platform mechanism","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics and Automation","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Workspace; Cartesian coordinate system; Computer science; Kinematics; Topology (electrical circuits); Maximization; Discretization; Torsion (gastropod); Mechanism (biology); Control theory (sociology); Geometry; Mathematics; Mathematical optimization; Artificial intelligence; Robot; Mathematical analysis; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001404126,0.0001400484,0.0002193825,0.0002291673,0.00008523526,0.00003628159,0.00003436958,0.0001036858,0.00002075512],"category_scores_gemma":[0.00000257264,0.0001394678,0.00005597447,0.0003140268,0.00001979925,0.0001173851,4.956615e-7,0.000102966,0.000001556876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002237538,"about_ca_system_score_gemma":0.00001023132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005749553,"about_ca_topic_score_gemma":0.000007759023,"domain_scores_codex":[0.9993582,0.00001934384,0.0002194158,0.000138851,0.0001218226,0.0001423174],"domain_scores_gemma":[0.9996644,0.00006538234,0.00004412143,0.0001308275,0.00002675928,0.00006851854],"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":[0.000005183314,0.00002794687,0.000001882754,0.00002797086,0.0001632673,8.348741e-7,0.0001331274,0.9777483,0.0007176542,0.01922283,0.000001741633,0.001949218],"study_design_scores_gemma":[0.0002714308,0.00006381828,0.00006063476,0.0000185901,0.0003002558,0.000006087485,0.00009099405,0.9941331,0.002112734,0.002802244,6.768875e-7,0.0001394076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004057111,0.00003810721,0.9954329,0.00001929883,0.0001268976,0.0001531845,0.000005820927,0.0001027393,0.00006395282],"genre_scores_gemma":[0.5041014,0.0001781049,0.495652,0.000006365961,0.000002568272,0.000007482054,0.000001680145,0.00001218032,0.00003824314],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5000443,"threshold_uncertainty_score":0.568733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340593979877083,"score_gpt":0.2063377368632975,"score_spread":0.1929317970645266,"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."}}