{"id":"W1978164164","doi":"10.1115/detc2004-57575","title":"The Kinematics of Wheeled Mobile Robots With Dual-Wheel Transmission Units","year":2004,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mobile robot; Kinematics; Robot; Inverse kinematics; Computer science; Robot kinematics; Offset (computer science); Transmission (telecommunications); Control engineering; Engineering; Simulation; Artificial intelligence; Telecommunications","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":[0.00009004424,0.0001379356,0.0001771333,0.00003625476,0.0000660516,0.00002089119,0.0001217,0.00005345105,0.00002280613],"category_scores_gemma":[0.000007543898,0.00007833548,0.00003841066,0.0002136515,0.00003875451,0.00006828498,0.0000112925,0.0001048997,0.000007135771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002643197,"about_ca_system_score_gemma":0.00003699627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002817488,"about_ca_topic_score_gemma":0.0001037642,"domain_scores_codex":[0.9992952,0.000008503485,0.000229188,0.00008866614,0.0001785734,0.0001998971],"domain_scores_gemma":[0.9994988,0.00008005313,0.00002836771,0.0002387736,0.00008444073,0.00006953094],"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":[0.00001767598,0.00002450221,0.00001415624,0.00005826969,0.00003718603,0.000003604293,0.000159799,0.980425,0.004893523,0.002151773,0.00005639856,0.01215814],"study_design_scores_gemma":[0.007041366,0.0007630404,0.001774153,0.000508762,0.0001537771,0.00004882843,0.0007712112,0.9634724,0.01621716,0.003950588,0.004459726,0.000839002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.395324,0.001679334,0.5811654,0.0003922854,0.0002140277,0.001060819,0.000008188958,0.0005668388,0.01958914],"genre_scores_gemma":[0.9929811,0.0002406144,0.006286809,0.00001289103,0.00002180349,0.00004226574,0.000004217132,0.00002899634,0.0003813287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5976571,"threshold_uncertainty_score":0.3194428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003985506405623949,"score_gpt":0.1762749242183906,"score_spread":0.1722894178127666,"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."}}