{"id":"W1971241999","doi":"10.1115/detc2012-70705","title":"On the Design of Mechanically Programmable Underactuated Anthropomorphic Robotic and Prosthetic Grippers","year":2012,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Underactuation; Grippers; Mechanism (biology); Thumb; Computer science; Synchronization (alternating current); Engineering; Control engineering; Robot; Artificial intelligence; Mechanical engineering; Physics","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":[0.0001853895,0.0003944228,0.0002872813,0.0002794874,0.0001731311,0.0004497227,0.0006033048,0.0004185482,0.001521594],"category_scores_gemma":[0.0003540215,0.0002757454,0.0002701392,0.0001191284,0.0005684697,0.0004677911,0.0004697329,0.000259449,0.0003989253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145036,"about_ca_system_score_gemma":0.0001699565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008533788,"about_ca_topic_score_gemma":0.0001202251,"domain_scores_codex":[0.9998172,0.00003413444,0.00001375741,0.00004032897,0.00007692872,0.00001775076],"domain_scores_gemma":[0.9998575,0.00004167397,0.00004190121,0.00002785181,0.00001876341,0.00001229423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002268098,0.00007127019,0.0006051995,0.0007964667,0.00006557832,0.0009452798,0.0002995092,0.08785649,0.6569884,0.05777131,0.001028039,0.1933457],"study_design_scores_gemma":[0.0002007315,0.003231274,0.005147643,0.0003311192,0.000165158,0.007551595,0.0002062932,0.5258875,0.2245713,0.04512036,0.1873347,0.0002523468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06819663,0.001568283,0.9165631,0.0001382878,0.0001185822,0.00008946692,0.00003373905,0.0005024562,0.01278948],"genre_scores_gemma":[0.5715239,0.001468502,0.4191144,0.0001566509,0.0000576064,0.0001625369,0.00004088697,0.00006529428,0.007410227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001521594,"threshold_uncertainty_score":0.005090237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417768062055686,"score_gpt":0.2288650585387855,"score_spread":0.1870882523332169,"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."}}