{"id":"W2117986899","doi":"10.1115/1.1369600","title":"Effect of Leg Inertia on Dynamics of Sliding-Leg Hexapods","year":2001,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Hexapod; Inertia; Acceleration; Dynamics (music); Control theory (sociology); Constant (computer programming); Moment of inertia; Mechanics; Simulation; Physics; Computer science; Classical mechanics; Robot; Acoustics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001862714,0.0002149024,0.0008057654,0.0002329283,0.0000283914,0.0000251743,0.0001610312,0.00009641518,0.000008246228],"category_scores_gemma":[0.00009490158,0.0001605351,0.0002003646,0.0001260029,0.00002381585,0.0001009496,0.000006445865,0.0001934496,0.000001518711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201531,"about_ca_system_score_gemma":0.0000295465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588625,"about_ca_topic_score_gemma":0.00001872574,"domain_scores_codex":[0.9978677,0.0002093612,0.0009320463,0.00009782667,0.0006907268,0.0002023307],"domain_scores_gemma":[0.9988465,0.0001267267,0.0004484908,0.0001741309,0.0002972337,0.0001069142],"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":[0.004910285,0.0007739055,0.05479752,0.004739221,0.006571063,0.0001703518,0.0006849474,0.4533626,0.3138236,0.00450296,0.0008052761,0.1548582],"study_design_scores_gemma":[0.01144135,0.002489259,0.004849544,0.001346616,0.0004870938,0.0001805186,0.0001491557,0.9778515,0.0006821706,0.00002525618,0.0002334521,0.0002641523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553408,0.006873865,0.1319733,0.0002758292,0.002436449,0.0008585146,0.0000120084,0.00005424891,0.002175015],"genre_scores_gemma":[0.9996563,0.0001262625,0.00001562002,0.00001142812,0.000104229,0.00000732329,7.867076e-7,0.00002431639,0.00005368605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5244889,"threshold_uncertainty_score":0.6546431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006332315613619004,"score_gpt":0.2009712480264471,"score_spread":0.1946389324128281,"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."}}