{"id":"W2151182378","doi":"10.5194/ms-2-27-2011","title":"The use of underactuation in prosthetic grasping","year":2011,"lang":"en","type":"article","venue":"Mechanical sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Underactuation; USable; Actuator; Construct (python library); Engineering; Prosthetic hand; Computer science; Artificial intelligence; Robot; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880054,0.00003131653,0.00004133659,0.00003737403,0.00007741621,0.00001380744,0.00007743113,0.00001245431,0.000007024831],"category_scores_gemma":[0.0000363552,0.00001930683,0.00001539288,0.0003233726,0.00005753685,0.000111337,0.000009711136,0.00003610939,4.42219e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007426083,"about_ca_system_score_gemma":0.000004345076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006792336,"about_ca_topic_score_gemma":0.0001524527,"domain_scores_codex":[0.9996361,0.00001369801,0.00009749525,0.00005585742,0.00009290069,0.0001039154],"domain_scores_gemma":[0.9998398,0.00007937333,0.00001523556,0.00004500146,0.000009930804,0.00001066243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002632605,0.0001271031,0.009160581,0.00003859476,0.000041847,0.000001255318,0.003633556,0.003235652,0.04668712,0.3258421,0.0004006212,0.6108053],"study_design_scores_gemma":[0.0005003207,0.0005975841,0.5093713,0.0001383609,0.00001622918,0.000003719635,0.001497237,0.2165322,0.151229,0.1140712,0.005515961,0.0005268405],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880734,0.00009131277,0.00986278,0.000183052,0.0001457158,0.0001373166,1.148126e-7,0.00005589487,0.001450391],"genre_scores_gemma":[0.9993339,0.00006153018,0.0005720052,0.0000167901,0.000003107004,0.000007725401,5.032589e-8,0.000001581437,0.000003319407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6102784,"threshold_uncertainty_score":0.07873098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123339152495937,"score_gpt":0.2474860522420346,"score_spread":0.1241468997460976,"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."}}