{"id":"W2145500759","doi":"10.1109/tmech.2005.863367","title":"Emulation of robots interacting with environment","year":2006,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Emulation; Robot; Robot control; Computer science; Control engineering; Robot kinematics; Simulation; Robot calibration; Actuator; Artificial intelligence; Mobile robot; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007524023,0.0001600714,0.0001848452,0.0001042851,0.00005490376,0.00001650495,0.00006572342,0.00007370955,0.00008975826],"category_scores_gemma":[4.705162e-7,0.0001478089,0.00007979669,0.00009688488,0.00001393843,0.0001270759,4.863821e-7,0.0001815631,0.00004102559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376229,"about_ca_system_score_gemma":0.00001131033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008696278,"about_ca_topic_score_gemma":0.0001038191,"domain_scores_codex":[0.9991814,0.00001859848,0.0002550415,0.0001480279,0.0001927904,0.0002041556],"domain_scores_gemma":[0.9996204,0.00004803154,0.0000568351,0.0002231632,0.00001766846,0.0000339355],"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":[0.00002270787,0.00004493459,0.00002306307,0.00002986007,0.00004895828,0.000001016145,0.0000735283,0.9731646,0.01763632,0.0002663741,0.00001092254,0.008677746],"study_design_scores_gemma":[0.002134698,0.0004451032,0.0004403348,0.0002734751,0.0001882797,0.00002414363,0.0005437724,0.8277943,0.1598296,0.0002603213,0.00737046,0.0006955451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1090486,0.0002177183,0.8890789,0.00003836216,0.0003748493,0.000228707,0.00001397176,0.0001489686,0.0008498817],"genre_scores_gemma":[0.9969454,0.00004700053,0.002624711,0.000004314459,0.00005063082,0.00002819933,0.000004765271,0.00004062284,0.0002542966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8878968,"threshold_uncertainty_score":0.6027473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003463375181763615,"score_gpt":0.1590159053292639,"score_spread":0.1555525301475002,"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."}}