{"id":"W1972138315","doi":"10.1115/1.2359476","title":"Optimum Kinetimatics Design of Drives for Wheeled Mobile Robots Based on Cam-Roller Pairs","year":2006,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Transmission (telecommunications); Omnidirectional antenna; Stiffness; Robot; Mobile robot; Work (physics); Computer science; Motion (physics); Engineering; Automotive engineering; Simulation; Mechanical engineering; Structural engineering; Artificial intelligence; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001013316,0.0002546804,0.0006534602,0.00021299,0.00004166939,0.00003041373,0.0003062175,0.0001840328,0.00004963124],"category_scores_gemma":[0.0001564063,0.0002112223,0.0003421329,0.0001433562,0.00002225926,0.000104195,0.00001369014,0.0002500546,0.000003987925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009817146,"about_ca_system_score_gemma":0.00007514661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001893199,"about_ca_topic_score_gemma":0.000001047191,"domain_scores_codex":[0.998068,0.0001301824,0.0009201201,0.0001421703,0.000414334,0.0003251632],"domain_scores_gemma":[0.9977537,0.001342451,0.0003029146,0.0002297762,0.000237134,0.0001340644],"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":[0.0004630428,0.0002156088,0.00000235176,0.00006387234,0.00006875084,0.00001244295,0.000009956269,0.9578873,0.03602564,0.0003909871,0.002507477,0.002352561],"study_design_scores_gemma":[0.002913369,0.001763331,0.00003441381,0.0001521836,0.000110341,0.00001140473,0.000009758413,0.9821049,0.008251091,0.00434758,0.00009200403,0.0002096523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00130659,0.0002889298,0.9971243,0.00008108324,0.0003569032,0.0007081168,0.000008118676,0.00004971905,0.00007631267],"genre_scores_gemma":[0.6595782,0.00003727472,0.3400107,0.00003823998,0.0001876013,0.00005016853,0.000002237232,0.00005323338,0.00004229314],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6582716,"threshold_uncertainty_score":0.8613395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134695460682596,"score_gpt":0.2186620355884844,"score_spread":0.2051924895202248,"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."}}