{"id":"W2800773963","doi":"10.1139/tcsme-2004-0014","title":"TYPE SYNTHESIS OF INPUT-OUTPUT DECOUPLED PARALLEL MANIPULATORS","year":2004,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parallel manipulator; Translation (biology); Kinematics; Control theory (sociology); Rotation (mathematics); Planar; Singularity; Computer science; Displacement (psychology); Forward kinematics; Workspace; Manipulator (device); Set (abstract data type); Topology (electrical circuits); Mathematics; Inverse kinematics; Mathematical analysis; Physics; Robot; Artificial intelligence; Classical mechanics; Control (management); Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001228353,0.0001484348,0.0002466874,0.00005239446,0.00008890487,0.000008615724,0.0002527967,0.0001778333,0.00001929767],"category_scores_gemma":[0.00003371678,0.0001391398,0.0004739717,0.0002746664,0.00002096501,0.00005296633,0.000004279216,0.0001646111,0.000001113273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984174,"about_ca_system_score_gemma":0.0001332937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288862,"about_ca_topic_score_gemma":0.007319675,"domain_scores_codex":[0.9991828,0.000002613167,0.000285792,0.00011419,0.0001293352,0.0002852905],"domain_scores_gemma":[0.9994064,0.00006206995,0.00003177274,0.0002746726,0.00005320185,0.0001718671],"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":[0.00000226286,0.000008283307,4.815402e-7,0.0001433545,0.0001437532,1.576923e-7,0.00006278475,0.9802102,0.003418834,0.0156242,0.00001683521,0.0003687841],"study_design_scores_gemma":[0.0003883626,0.00004271697,0.00003119719,0.0001268768,0.0001721801,0.000005628841,0.00007093427,0.9789092,0.01789538,0.001951131,0.0001698724,0.0002365042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01014488,0.00006306754,0.9886063,0.0001287352,0.0006133732,0.0002695304,0.0000599357,0.00008198714,0.00003222869],"genre_scores_gemma":[0.8526382,0.00003215321,0.1471934,0.00002041991,0.00001938157,0.00002608061,0.000002203527,0.00004618831,0.00002193948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8424934,"threshold_uncertainty_score":0.5673956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170353690575176,"score_gpt":0.1917433090161137,"score_spread":0.180039772110362,"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."}}