{"id":"W2047383038","doi":"10.1115/1.4025743","title":"Operational Space Formulation and Analysis for Rovers","year":2013,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Redundancy (engineering); Computer science; Context (archaeology); Inertial frame of reference; Control engineering; Control theory (sociology); Generalized coordinates; Space (punctuation); Engineering; Control (management); Artificial intelligence; Mathematics; Physics","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":[0.000497164,0.0009732567,0.000525779,0.0008108218,0.0003351696,0.001049898,0.0007710084,0.0005820964,0.004231764],"category_scores_gemma":[0.0008352033,0.0002027796,0.0006474378,0.0005506534,0.001037949,0.0009820341,0.0009572989,0.001011049,0.0008524931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518847,"about_ca_system_score_gemma":0.0004153263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814132,"about_ca_topic_score_gemma":0.001177444,"domain_scores_codex":[0.9996188,0.0001294071,0.00002603938,0.00006375826,0.0001270108,0.00003493784],"domain_scores_gemma":[0.9997628,0.00005647544,0.00005338692,0.00002487832,0.00008891395,0.0000134686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001907893,0.00002089181,0.0004846935,0.0001611347,0.00002588672,0.000224914,0.0002618917,0.3008323,0.006623127,0.6623734,0.002033679,0.02693906],"study_design_scores_gemma":[0.000006990557,0.0000926857,0.0004220603,0.00003923613,0.00001037824,0.0001154928,0.0001393228,0.8254384,0.001042138,0.1568455,0.01582917,0.0000186337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007734827,0.0008304095,0.9791968,0.0001517281,0.00006834733,0.00003622492,0.00007972011,0.00005709648,0.01184487],"genre_scores_gemma":[0.6875115,0.003943649,0.2822806,0.0003479833,0.0005939934,0.0004834044,0.0006463637,0.0002707144,0.02392177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004231764,"threshold_uncertainty_score":0.01415664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004906560034749248,"score_gpt":0.2095824924929567,"score_spread":0.2046759324582075,"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."}}