{"id":"W2300650771","doi":"10.1115/detc2015-46626","title":"Underactuated Finger Closing Motion Control Using Dual Drive Actuation","year":2015,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Underactuation; Kinematics; Actuator; Closing (real estate); Control theory (sociology); Computer science; Mechanism (biology); Motion (physics); Motion control; Work (physics); Control engineering; Engineering; Artificial intelligence; Control (management); Robot; 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":[0.0001376315,0.0002442435,0.0003204547,0.0001529632,0.0001652004,0.0003729647,0.0004983945,0.0002346348,0.0005123169],"category_scores_gemma":[0.0002902878,0.0001490231,0.0001850242,0.00009181983,0.000319551,0.0003016182,0.0003791607,0.0002355222,0.00009681573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332723,"about_ca_system_score_gemma":0.0001985197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795817,"about_ca_topic_score_gemma":0.000392402,"domain_scores_codex":[0.9998692,0.0000133179,0.000008841128,0.00003900241,0.00005500253,0.0000147031],"domain_scores_gemma":[0.9998283,0.00004403695,0.00006677157,0.00002186283,0.00002208793,0.00001699584],"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":[0.0003528182,0.0001203564,0.0008011597,0.0002402393,0.00004210948,0.0003478539,0.0002076821,0.1665302,0.6850471,0.009276909,0.0005583243,0.1364753],"study_design_scores_gemma":[0.00004922866,0.0006525757,0.000966972,0.00001366344,0.00002401063,0.0002713817,0.00002130155,0.9190236,0.07252052,0.001439679,0.004986516,0.0000306079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2020346,0.000332784,0.7925261,0.00006544637,0.00007781345,0.00004012421,0.00002114938,0.0003465172,0.004555456],"genre_scores_gemma":[0.95609,0.0000916403,0.04189699,0.00002369367,0.00001152504,0.00002905101,0.00001253505,0.0000105401,0.001834045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005123169,"threshold_uncertainty_score":0.001713932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06580594386969957,"score_gpt":0.2644423410181699,"score_spread":0.1986363971484703,"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."}}