{"id":"W2108621533","doi":"10.1109/robot.2000.845291","title":"Kinematic graspability of a 2D multifingered hand","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kinematics; GRASP; Object (grammar); Set (abstract data type); Configuration space; Nonlinear system; Computer science; Control theory (sociology); Space (punctuation); Topology (electrical circuits); Mathematical optimization; Mathematics; Artificial intelligence; Classical mechanics; Physics; Combinatorics","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":[0.0004668458,0.0004984045,0.0005692621,0.0006246608,0.0004263576,0.0008911853,0.0004382003,0.0009627054,0.002453802],"category_scores_gemma":[0.001529381,0.0003117022,0.0004631176,0.0002564843,0.00125392,0.00105834,0.001230932,0.0003501184,0.0002094128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005663518,"about_ca_system_score_gemma":0.0005385512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388027,"about_ca_topic_score_gemma":0.0007432732,"domain_scores_codex":[0.9997546,0.00004330268,0.00001952691,0.00006818969,0.0000732606,0.00004105728],"domain_scores_gemma":[0.9996555,0.0001534785,0.00009964628,0.00003124256,0.00003062557,0.00002949896],"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":[0.0001610798,0.00002758254,0.001521655,0.0001085595,0.00002768981,0.001098579,0.0002855962,0.8382238,0.03030786,0.09196153,0.0003450793,0.03593098],"study_design_scores_gemma":[0.00003085921,0.0001070201,0.0008095051,0.00002080174,0.000008454133,0.0003102713,0.00005738786,0.9470562,0.003820275,0.04669771,0.001047218,0.00003433871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2838403,0.0002586575,0.7097654,0.0002301008,0.00001805199,0.00004669039,0.0001106194,0.0001707365,0.005559497],"genre_scores_gemma":[0.9513431,0.0001022291,0.04680303,0.00002586776,0.00001069228,0.00005323628,0.00007001262,0.00001512559,0.00157687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002453802,"threshold_uncertainty_score":0.008208811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367525287030007,"score_gpt":0.2094489631698805,"score_spread":0.1757737102995804,"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."}}