{"id":"W2542542810","doi":"10.1109/iecon.1991.239158","title":"An innovative robotic gripper for grasping and handling research","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Actuator; Computer science; Grippers; Degrees of freedom (physics and chemistry); Robot end effector; Planar; Artificial intelligence; Robotics; Robotic arm; Variety (cybernetics); Robot; Control engineering; Engineering; Mechanical engineering; Computer graphics (images)","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":[0.0002537337,0.00005911823,0.00007375497,0.0001453312,0.0001439501,0.00007385857,0.00004451403,0.00003853741,0.0001470773],"category_scores_gemma":[0.00005739197,0.00005640018,0.000008941384,0.000290043,0.00001962392,0.0001767957,0.000009166041,0.0001504691,0.00001953711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001911454,"about_ca_system_score_gemma":0.000001735059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005944611,"about_ca_topic_score_gemma":0.000007715707,"domain_scores_codex":[0.9994831,0.00002124896,0.0001030787,0.0001110668,0.00008580411,0.0001956774],"domain_scores_gemma":[0.9996954,0.00007834052,0.000006509343,0.00008082992,0.00009575715,0.00004315076],"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":[0.000003095992,0.00001162133,0.002338151,0.00005645669,0.00001592493,9.744557e-7,0.001980279,0.9701158,0.007343262,0.006275285,0.0008384356,0.01102072],"study_design_scores_gemma":[0.0001694084,0.00004946277,0.00398692,0.00001552064,0.000001278562,0.000001502577,0.0002800403,0.9940457,0.0002687153,0.0001138376,0.000983065,0.00008449187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2090305,0.0003953588,0.7740826,0.0002646087,0.0001784375,0.0003474377,9.650108e-8,0.0004280161,0.01527298],"genre_scores_gemma":[0.994428,0.00001484106,0.004891817,0.00003613478,0.00007985742,0.00001398648,0.000002749573,0.00002006664,0.0005124976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7853976,"threshold_uncertainty_score":0.2299933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1667466687253839,"score_gpt":0.3513716911136726,"score_spread":0.1846250223882887,"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."}}