{"id":"W2105390381","doi":"10.1109/robot.1993.291885","title":"An instrumented compliant wrist for robotics applications","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":"Queen's University","funders":"","keywords":"Wrist; Robot end effector; Robotics; Robot; Computer science; Instrumentation (computer programming); Torque; Artificial intelligence; GRASP; Simulation; Control engineering; Engineering","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":[0.0004410313,0.0007821114,0.0004947463,0.0005179659,0.0003821671,0.001089422,0.001342153,0.001242531,0.007402527],"category_scores_gemma":[0.0008066308,0.0003354947,0.0003939299,0.0004867606,0.0004361841,0.0008821771,0.0009015563,0.0005601397,0.004068764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959871,"about_ca_system_score_gemma":0.0003762808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033971,"about_ca_topic_score_gemma":0.0002616617,"domain_scores_codex":[0.9993455,0.00009533582,0.00004841965,0.00009348847,0.0003784807,0.00003885994],"domain_scores_gemma":[0.9995705,0.00007214047,0.00006652696,0.0001203329,0.0001248692,0.00004555909],"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":[0.0002918353,0.000151549,0.0007452942,0.0008906917,0.00003788029,0.001350392,0.0002170316,0.009381304,0.5096816,0.02763788,0.008180903,0.4414335],"study_design_scores_gemma":[0.0001814359,0.00329192,0.003284009,0.0005076247,0.0001916838,0.009387396,0.0001310056,0.1323589,0.4225169,0.01275255,0.4151294,0.0002671425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01097325,0.00139656,0.9669028,0.0001705044,0.0002212823,0.0001748452,0.00008053872,0.004126319,0.01595385],"genre_scores_gemma":[0.2089578,0.001846321,0.7487527,0.0004452311,0.0001644431,0.0004948468,0.0003746338,0.0003728075,0.03859127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007402527,"threshold_uncertainty_score":0.02476394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627638573289656,"score_gpt":0.2551996534360182,"score_spread":0.2089232677031216,"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."}}