{"id":"W2564317158","doi":"10.3390/machines4040024","title":"Study on the Kinematic Performances and Optimization for Three Types of Parallel Manipulators","year":2016,"lang":"en","type":"article","venue":"Machines","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Jacobian matrix and determinant; Stiffness; Control theory (sociology); Computer science; Process (computing); Parallel manipulator; Mathematics; Engineering; Artificial intelligence; Applied mathematics; Physics; Structural engineering; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066177,0.000822763,0.000560854,0.0006365505,0.0003989439,0.0006582199,0.0004590483,0.000619175,0.001465489],"category_scores_gemma":[0.002076726,0.0003210399,0.0007758958,0.0005408647,0.0006886563,0.0006840423,0.0004889509,0.00047284,0.0002078074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614355,"about_ca_system_score_gemma":0.0003765259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007286432,"about_ca_topic_score_gemma":0.000596602,"domain_scores_codex":[0.9996424,0.0001100412,0.00002380105,0.00005248568,0.0001314363,0.00003981128],"domain_scores_gemma":[0.9988877,0.0006805179,0.0001827282,0.0001124844,0.0001022654,0.0000341922],"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":[0.00007689885,0.00005811332,0.001115216,0.0002150717,0.00004635062,0.0001365338,0.00007759361,0.9431735,0.01029885,0.01327166,0.0001271318,0.03140303],"study_design_scores_gemma":[0.000005273566,0.000163045,0.0007331985,0.000009617833,0.0000143572,0.0000810655,0.00002058168,0.993172,0.002544776,0.002834521,0.000412421,0.000009111245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2356738,0.0006486318,0.75058,0.0001433054,0.00002190017,0.00005599501,0.000039834,0.0001398611,0.01269671],"genre_scores_gemma":[0.9438443,0.0003838346,0.05353957,0.00001353089,0.00001225374,0.00006406377,0.00003075945,0.00002192766,0.002089728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001465489,"threshold_uncertainty_score":0.00563854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115708051975663,"score_gpt":0.2283340378835793,"score_spread":0.2071769573638227,"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."}}