{"id":"W2740675346","doi":"10.5897/jmer.9000032","title":"Kinematic model of three wheeled mobile robot","year":2011,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Axle; Mobile robot; Robot; Robot kinematics; Computer science; Engineering; Work (physics); Key (lock); Simulation; Control engineering; Control theory (sociology); Artificial intelligence; Mechanical engineering; Control (management); Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007610781,0.000181688,0.0003430931,0.000268358,0.00003314995,0.00001535884,0.0004541861,0.0001481538,0.000133912],"category_scores_gemma":[0.0001537629,0.0001754968,0.0001151292,0.0003485386,0.00002978617,0.0000957744,0.0001446956,0.0005275112,0.00004834135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006969208,"about_ca_system_score_gemma":0.00002654475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002850346,"about_ca_topic_score_gemma":0.00002090698,"domain_scores_codex":[0.9983185,0.00001819361,0.0003679173,0.0002163508,0.000498107,0.0005809143],"domain_scores_gemma":[0.9989974,0.0001748656,0.0000165401,0.0004884049,0.0001371901,0.0001856122],"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":[0.00001404673,0.00005470008,0.000004641075,0.0002400747,0.00004099355,0.000005269506,0.00006751353,0.8839394,0.1047521,0.008490684,0.0000316113,0.002358915],"study_design_scores_gemma":[0.0003263364,0.0001096064,0.00007086583,0.00007095944,0.000009509714,0.000002437946,0.00001073693,0.9895175,0.006442897,0.003252286,0.00001871245,0.000168216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1255668,0.0004510149,0.8706293,0.00001221556,0.0002129802,0.0006204713,0.00001192558,0.0005024279,0.001992876],"genre_scores_gemma":[0.9789261,0.00004632111,0.02063205,0.000001981522,0.00004136701,0.0002189886,0.000002599274,0.0000669592,0.00006362009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8533593,"threshold_uncertainty_score":0.715655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07284439065022616,"score_gpt":0.2682036142338525,"score_spread":0.1953592235836264,"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."}}