{"id":"W2112777749","doi":"10.1115/1.4025493","title":"On the Design of a Mechanically Programmable Underactuated Anthropomorphic Prosthetic Gripper","year":2013,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Underactuation; Grippers; Lever; Mechanism (biology); Compliant mechanism; Prosthetic hand; Engineering; Computer science; Closing (real estate); Simulation; Mechanical engineering; Robot; Structural engineering; Artificial intelligence; Finite element method; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009286054,0.0001877948,0.0003585013,0.0001345058,0.00008767137,0.00004925743,0.0002895189,0.00009907582,0.0004863169],"category_scores_gemma":[0.0003231986,0.0001105065,0.0001644716,0.0003849413,0.00005365408,0.0001543939,0.00001771513,0.0004127592,0.00002084239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004802775,"about_ca_system_score_gemma":0.00004517318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003960636,"about_ca_topic_score_gemma":3.133004e-7,"domain_scores_codex":[0.9983116,0.0002554343,0.0005938368,0.0001078468,0.0004347884,0.0002964607],"domain_scores_gemma":[0.9983603,0.0008084932,0.0002267931,0.0001968611,0.0003056956,0.0001018323],"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":[0.0005924751,0.000983412,0.000005887309,0.0001210326,0.001444032,0.0000316125,0.0003498531,0.03121246,0.7993414,0.04456966,0.06356156,0.05778656],"study_design_scores_gemma":[0.003208086,0.01028542,0.0003852929,0.000732914,0.0003154711,0.0002667816,0.0006106392,0.2130982,0.5006782,0.2683621,0.001126449,0.0009304184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01762767,0.0001943615,0.9787915,0.002045772,0.0002283408,0.0009182841,7.331363e-7,0.00007297119,0.0001203265],"genre_scores_gemma":[0.9885686,0.0002268495,0.01086688,0.0002033004,0.0000384689,0.00004567029,3.093068e-7,0.00003208185,0.00001783965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9709409,"threshold_uncertainty_score":0.5324829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012830927374562,"score_gpt":0.2210353636192831,"score_spread":0.1909070543455375,"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."}}