{"id":"W2041595942","doi":"10.1109/iembs.2010.5626171","title":"Effect of force feedback from each DOF on the motion accuracy of a surgical tool in performing a robot-assisted tracing task","year":2010,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tracing; Controller (irrigation); Robot; Computer science; Robot end effector; Motion (physics); Simulation; Task (project management); Haptic technology; Motion control; Computer vision; Artificial intelligence; Control theory (sociology); Engineering; Control (management)","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":[0.0002708872,0.00009878082,0.0001746226,0.00004814161,0.00002846623,0.00001262844,0.0001198078,0.00007657924,0.00007952073],"category_scores_gemma":[0.00009104949,0.000065962,0.00006705677,0.0001756938,0.00002133908,0.00005740021,0.00001667952,0.0002366064,0.000006534231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001565878,"about_ca_system_score_gemma":0.000005651875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082863,"about_ca_topic_score_gemma":0.00005666424,"domain_scores_codex":[0.9993905,0.00002302966,0.0002522896,0.0001056257,0.0001107771,0.0001177123],"domain_scores_gemma":[0.9984813,0.001190518,0.00004576593,0.0002459857,0.00001814199,0.00001827903],"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":[0.00007077277,0.0001516541,0.007882768,0.0001778033,0.00006066805,0.000002200977,0.0006883628,0.152041,0.7240401,0.005908659,0.00007417669,0.1089019],"study_design_scores_gemma":[0.001286705,0.000113624,0.08114216,0.0001359494,0.00003977173,0.000005448977,0.00008787966,0.5909821,0.3256235,0.0003002604,0.00007121969,0.0002114233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935336,0.000009817517,0.004533084,0.00007611387,0.00005364638,0.0002674899,0.000005641634,0.0000430908,0.001477485],"genre_scores_gemma":[0.9991755,0.00000521039,0.0006934931,0.000003880808,0.00003246592,0.00003561972,0.00001077039,0.00001378574,0.00002930846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4389412,"threshold_uncertainty_score":0.2689852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803566175935778,"score_gpt":0.2358446367040604,"score_spread":0.2278089749447026,"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."}}