{"id":"W2182497420","doi":"","title":"Reliability and quality improvement of robotic manipulation systems","year":2011,"lang":"en","type":"article","venue":"WSEAS Transactions on Systems and Control archive","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Robot; Cartesian coordinate system; Reliability (semiconductor); Simulation; Measure (data warehouse); Repeatability; Process (computing); Robot calibration; Software; Engineering; Computer science; Control engineering; Control theory (sociology); Robot control; Control (management); Artificial intelligence; Mathematics; Mobile robot; Data mining","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":[0.004174441,0.0005484536,0.0005852674,0.001436309,0.0003798094,0.0008955955,0.0007704877,0.0004715916,0.001735832],"category_scores_gemma":[0.01214274,0.0002557595,0.000446306,0.0008112577,0.0006717594,0.0006737775,0.0007524757,0.0003259513,0.0006527341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139387,"about_ca_system_score_gemma":0.0006164235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006077621,"about_ca_topic_score_gemma":0.0004563962,"domain_scores_codex":[0.9946814,0.001254417,0.0002634164,0.0005242039,0.00306971,0.0002067483],"domain_scores_gemma":[0.9911929,0.002645378,0.001182229,0.001609424,0.00324711,0.0001230533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000878943,0.0001512076,0.01922077,0.001394903,0.0001752603,0.0003192365,0.0005261345,0.2481691,0.1055698,0.0101839,0.002325715,0.6110851],"study_design_scores_gemma":[0.0001687137,0.005767849,0.06787127,0.0002905543,0.0004291361,0.001494433,0.0004238019,0.7137987,0.1606391,0.01860923,0.03030273,0.000204414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1909559,0.004206678,0.7930781,0.000305112,0.0001517855,0.0002112853,0.0002223063,0.001772769,0.009096088],"genre_scores_gemma":[0.9431972,0.0007106902,0.05401649,0.00003079631,0.00006269424,0.0001233603,0.0002288231,0.0001279559,0.001501911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004174441,"threshold_uncertainty_score":0.02207685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986176318892171,"score_gpt":0.2080895538532277,"score_spread":0.188227790664306,"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."}}