{"id":"W2159879834","doi":"10.1109/robot.1996.503885","title":"Design and control of a teleoperated microgripper for microsurgery","year":2002,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Teleoperation; Grippers; Emulation; Robot end effector; Computer science; Haptic technology; Motion control; Control engineering; Simulation; Control (management); Engineering; Mechanical engineering; Artificial intelligence; Robot","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":[0.00003278626,0.00004094764,0.0000729481,0.00001846556,0.00001564892,0.000008905388,0.0000204904,0.00002327321,0.00004568944],"category_scores_gemma":[0.000004574857,0.00003622938,0.00001487646,0.00004301824,0.00001217179,0.0000139487,0.000001743081,0.00001490541,0.000004676805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002746171,"about_ca_system_score_gemma":0.000001104757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001210552,"about_ca_topic_score_gemma":3.214151e-7,"domain_scores_codex":[0.9997828,0.000002190348,0.00008329796,0.00004630543,0.0000140402,0.00007137166],"domain_scores_gemma":[0.9998064,0.00009214813,0.000005949254,0.00005311141,0.00002262155,0.00001975361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003700295,0.00003473755,0.0007335923,0.00003809642,0.00005172866,1.825667e-7,0.00007899901,0.02088383,0.958176,0.0004499023,0.013278,0.006271285],"study_design_scores_gemma":[0.0006410903,0.00002075688,0.0004453763,0.000006510903,0.00001985442,0.000003917792,0.00001240901,0.8431583,0.1490505,0.0000719318,0.006448162,0.0001212182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04949023,0.0006452778,0.9491799,0.00009560904,0.00002319701,0.0002691596,0.00000683179,0.00007328345,0.0002164584],"genre_scores_gemma":[0.9749835,0.00005605591,0.02471548,0.0000469835,0.0000092834,0.00004188763,0.000001077699,0.000009452453,0.000136271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9254933,"threshold_uncertainty_score":0.1477391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737680099833193,"score_gpt":0.1918956432790243,"score_spread":0.1745188422806924,"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."}}