{"id":"W2117197536","doi":"10.1109/tra.2004.824641","title":"Kinetostatic Analysis of Underactuated Fingers","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics and Automation","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":255,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Underactuation; Wrench; Torque; Actuator; Computer science; Control theory (sociology); Phalanx; Engineering; Artificial intelligence; Physics; Mechanical engineering; Control (management); Anatomy; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003962163,0.0000739866,0.0001264542,0.0003377532,0.00005501808,0.00001971948,0.00002262666,0.00003969501,0.00005202691],"category_scores_gemma":[0.000001966893,0.00007773533,0.00005043302,0.0005020687,0.00001358793,0.00008319496,1.48628e-7,0.00007812015,0.000009557383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000356588,"about_ca_system_score_gemma":0.000006521074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001747819,"about_ca_topic_score_gemma":0.00002617094,"domain_scores_codex":[0.9995747,0.00000955271,0.0001768028,0.000073195,0.00009142399,0.00007434584],"domain_scores_gemma":[0.9998022,0.00003658242,0.00003300878,0.00007509913,0.00002283342,0.00003022901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000165021,0.00001804303,0.00001038718,0.00001944093,0.0001751152,3.183424e-7,0.0003155162,0.9947725,0.001341023,0.0002274494,0.000002373693,0.003116179],"study_design_scores_gemma":[0.0002106074,0.00002180842,0.00410797,0.00001992383,0.0002621788,6.344721e-7,0.00004942622,0.9928179,0.002329049,0.00009871228,0.000003568366,0.0000781572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09913272,0.00001089627,0.9003669,0.0000779547,0.00009616123,0.00005168539,0.000001512193,0.0001438864,0.0001182796],"genre_scores_gemma":[0.9958162,0.00002956787,0.004082684,0.0000213238,0.000003579707,0.000002376398,0.00001440113,0.000010396,0.00001946932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8966835,"threshold_uncertainty_score":0.3169955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489620232527027,"score_gpt":0.2300142666067208,"score_spread":0.2151180642814506,"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."}}