{"id":"W3002553957","doi":"10.1115/1.4046049","title":"A C-Legged Monopedal Robot and Its Transition From Multiple Locomotion Modes","year":2020,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Actuator; Simulation; Computer science; Legged robot; Robot locomotion; Process (computing); Controller (irrigation); Mode (computer interface); Frame (networking); Set (abstract data type); Control theory (sociology); Control engineering; Engineering; Mobile robot; Robot control; Artificial intelligence; Control (management)","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":[0.00009657176,0.0001325309,0.000262876,0.00004661943,0.000056481,0.00005094082,0.00006099694,0.00009059886,0.00001871039],"category_scores_gemma":[0.00001979353,0.0001143129,0.00005948647,0.00005547549,0.000009034842,0.0002017468,0.00001230535,0.0002089538,0.00000284706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001569706,"about_ca_system_score_gemma":0.00001012346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002387091,"about_ca_topic_score_gemma":0.000002410334,"domain_scores_codex":[0.9992834,0.0000310459,0.0003120828,0.00009407803,0.000155648,0.0001237535],"domain_scores_gemma":[0.9995834,0.00003616148,0.00007749357,0.00004344739,0.00006331511,0.0001962231],"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":[0.00003117269,0.00002100773,0.000007130407,0.0000288977,0.00006092427,0.0000164845,0.0006297323,0.9002091,0.0950251,0.001181309,0.00003467054,0.002754419],"study_design_scores_gemma":[0.001627339,0.0001989063,0.00028452,0.0000469652,0.00008728787,0.00003298951,0.0002819984,0.9922274,0.003720436,0.001339694,0.00002314827,0.0001292704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03126742,0.0007771197,0.9653888,0.002189983,0.0001948703,0.0001087339,0.000007167821,0.00004120709,0.00002469386],"genre_scores_gemma":[0.9298405,0.0004899599,0.06922367,0.0002310052,0.0001867254,9.288925e-7,0.000002530714,0.00001955586,0.000005105565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8985731,"threshold_uncertainty_score":0.4661545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467522783527289,"score_gpt":0.1833738498285989,"score_spread":0.168698621993326,"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."}}