{"id":"W1901185711","doi":"10.1109/iros.1999.812829","title":"A simulation study of a mobile manipulator","year":2003,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensitivity (control systems); Computer science; Manipulator (device); Simulation; Control theory (sociology); Mobile manipulator; Dynamic simulation; Control engineering; Mobile robot; Engineering; Robot; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007567963,0.00004978163,0.000120834,0.0001243474,0.00005480125,0.00003242914,0.0001741881,0.00002567526,0.00153399],"category_scores_gemma":[0.0005737727,0.00003525263,0.00003849362,0.0006380647,0.00001308818,0.00009351222,0.00002024246,0.00002656943,0.0000842562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007880333,"about_ca_system_score_gemma":0.0000126153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002207095,"about_ca_topic_score_gemma":0.00001125442,"domain_scores_codex":[0.9986945,0.00007571589,0.0004559665,0.0001970135,0.0005128918,0.00006388393],"domain_scores_gemma":[0.9983926,0.0007255063,0.0001268751,0.000471257,0.0002507386,0.00003304716],"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":[0.00001230635,0.002169498,0.1261396,0.000001765257,0.00001536743,6.49094e-7,0.002131962,0.7573386,0.0007345751,0.08446714,0.001164688,0.02582384],"study_design_scores_gemma":[0.002274489,0.001422059,0.084898,0.000006126254,0.00003662669,0.000001967688,0.02898961,0.5559496,0.009411516,0.1776165,0.1388789,0.0005145576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936578,0.000005704535,0.09316884,0.000007434361,0.00002107104,0.0005457849,8.679275e-7,0.00004916046,0.01254336],"genre_scores_gemma":[0.996361,1.527149e-7,0.001899716,0.0000265566,0.00000555918,0.00005581417,3.00066e-7,0.000003989913,0.001646923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.201389,"threshold_uncertainty_score":0.9993787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2168110919622066,"score_gpt":0.4888763319850675,"score_spread":0.2720652400228609,"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."}}