{"id":"W2148090453","doi":"10.1177/02783640022066914","title":"Modeling and Dynamic Performance Evaluation of Target Capture in Robotic Systems","year":2000,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Robot; Control theory (sociology); Representation (politics); Motion (physics); Computer science; Inertia; System dynamics; Control engineering; Rigid body dynamics; Finite element method; Rigid body; Trajectory; Simulation; Engineering; Artificial intelligence; Control (management); Physics; Structural 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":[0.00137758,0.001196633,0.0007896146,0.0005308184,0.0003815399,0.001033131,0.0007493708,0.0008243675,0.001182192],"category_scores_gemma":[0.003275968,0.0002225702,0.0005739467,0.0004200904,0.000660068,0.00080656,0.0008726328,0.0006384848,0.0002503187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646725,"about_ca_system_score_gemma":0.0005117179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00428925,"about_ca_topic_score_gemma":0.001272611,"domain_scores_codex":[0.9988987,0.0003725301,0.0000474291,0.0001415411,0.0004185626,0.0001211577],"domain_scores_gemma":[0.9986836,0.0007358369,0.0002256973,0.00009331828,0.0002310357,0.00003039545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005449419,0.00002663718,0.0004047566,0.00007639914,0.00002024117,0.0000437447,0.00005974745,0.9841743,0.003123999,0.003074626,0.00008368268,0.008857365],"study_design_scores_gemma":[0.000002050264,0.00008246071,0.0003048695,0.00000506307,0.000008215359,0.00001439376,0.00001729732,0.9975274,0.001417779,0.0004811957,0.0001334549,0.000005808775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1412802,0.0009242738,0.8453565,0.0001908211,0.00002588433,0.00008711484,0.00006004498,0.0004656658,0.01160945],"genre_scores_gemma":[0.9916746,0.0002127722,0.006933244,0.0000113162,0.000008953201,0.00004892137,0.00004327556,0.00002045365,0.00104642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00428925,"threshold_uncertainty_score":0.008528531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910230723395123,"score_gpt":0.319627915573056,"score_spread":0.2805256083391047,"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."}}