{"id":"W142087394","doi":"10.1007/978-1-4020-8600-7_40","title":"Augmented Model of the 3-PRS Manipulator for Kinematic Calibration","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Kinematics; Inverse kinematics; Displacement (psychology); Manipulator (device); Calibration; Representation (politics); Computer science; Parallel manipulator; Control theory (sociology); Kinematic diagram; Kinematic chain; Mathematics; Artificial intelligence; Robot; Physics; Classical mechanics","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":[0.0002363593,0.001126076,0.0008012846,0.0005258454,0.0003940435,0.001125168,0.00137272,0.00141609,0.03315706],"category_scores_gemma":[0.0003139339,0.0006035808,0.001081418,0.0006428509,0.0005355104,0.001117857,0.0009609382,0.001309516,0.01840153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436478,"about_ca_system_score_gemma":0.0007876941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080475,"about_ca_topic_score_gemma":0.004709997,"domain_scores_codex":[0.9997148,0.00004069797,0.00001337015,0.00005514424,0.000162394,0.00001356688],"domain_scores_gemma":[0.9998766,0.00001379088,0.00001362952,0.00004328286,0.00004729933,0.00000536475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001364218,0.00005265321,0.0004590778,0.0006074539,0.00008200885,0.0005512757,0.0003265734,0.4027168,0.03170208,0.1238432,0.02934024,0.4101822],"study_design_scores_gemma":[0.00004617402,0.0001643536,0.001279756,0.000219585,0.00007153272,0.001023187,0.0001231877,0.5932478,0.01085006,0.03859663,0.3542764,0.0001013397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002729465,0.0005312681,0.9598086,0.0001826266,0.0003104827,0.00007097596,0.001051974,0.002624861,0.03268972],"genre_scores_gemma":[0.2244924,0.002525852,0.6071666,0.0003164084,0.0002926629,0.0005196586,0.005705235,0.0008119278,0.1581693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03315706,"threshold_uncertainty_score":0.1109214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999031494904294,"score_gpt":0.1893347768468643,"score_spread":0.1593444618978213,"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."}}