{"id":"W2252994482","doi":"10.1007/s11432-014-5192-7","title":"Development of multi-fingered dexterous hand for grasping manipulation","year":2014,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robotic hand; Actuator; Harmonic drive; Robot hand; Computer science; Tactile sensor; Object (grammar); Prosthetic hand; Biomimetics; Computer vision; Engineering; Artificial intelligence; Simulation; Robot","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":[0.0003033737,0.0005872717,0.0003711004,0.0005108141,0.0002734778,0.0004076275,0.0009591792,0.0005423446,0.002245696],"category_scores_gemma":[0.0003043941,0.0002577291,0.0003878518,0.000169633,0.0003324955,0.0006055996,0.0008533547,0.0005184304,0.0007479421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787296,"about_ca_system_score_gemma":0.0003641668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000432629,"about_ca_topic_score_gemma":0.0004953928,"domain_scores_codex":[0.999795,0.00001172603,0.00002365833,0.00008288369,0.0000660538,0.00002067854],"domain_scores_gemma":[0.9998171,0.00002703678,0.00003722983,0.00003331688,0.00003342254,0.0000519853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000224989,0.00002906264,0.0004991823,0.00006255454,0.000008261677,0.00028102,0.00003498954,0.0004022103,0.9836137,0.0007765359,0.00008299714,0.014187],"study_design_scores_gemma":[0.00003592611,0.0007947963,0.008017477,0.00005403506,0.00009198215,0.004944528,0.00007903884,0.01651979,0.9566421,0.001074704,0.01169513,0.00005048803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003244,0.003671929,0.2797723,0.0002697318,0.0002189124,0.0002282224,0.00040225,0.001380193,0.01373206],"genre_scores_gemma":[0.8224596,0.001672213,0.1626898,0.0001371675,0.00002069216,0.0001453712,0.0005011903,0.00009135035,0.01228263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002245696,"threshold_uncertainty_score":0.007512569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023612650852875,"score_gpt":0.3450264146153124,"score_spread":0.2426651495300248,"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."}}