{"id":"W2978242027","doi":"10.1017/s0263574719001413","title":"Gait Optimization for Quadruped Rovers","year":2019,"lang":"en","type":"article","venue":"Robotica","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gait; Kinematics; Torque; Control theory (sociology); Computer science; Effect of gait parameters on energetic cost; Stability (learning theory); Simulation; Engineering; Gait analysis; Artificial intelligence; Control (management); Physical medicine and rehabilitation; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981083,0.0003129373,0.0005032574,0.000412673,0.0002124589,0.0004184122,0.0002140106,0.0003186305,0.001274269],"category_scores_gemma":[0.0003982647,0.0002204968,0.0004467508,0.000245531,0.0003116564,0.0002178109,0.000319565,0.0002579885,0.0002028736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003078933,"about_ca_system_score_gemma":0.0003601642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768148,"about_ca_topic_score_gemma":0.002604865,"domain_scores_codex":[0.9998994,0.0000353708,0.000005105867,0.0000218268,0.00002482166,0.00001354023],"domain_scores_gemma":[0.9998711,0.00004359203,0.00002729975,0.00001379666,0.00003468112,0.000009501803],"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":[0.00001226691,0.00001636707,0.0005625305,0.00003249532,0.00002342104,0.00003296864,0.00001870855,0.9818215,0.00367575,0.002019035,0.0001737255,0.01161126],"study_design_scores_gemma":[0.000004834074,0.0000374185,0.0005478706,0.000006032062,0.000005353486,0.00002094101,0.00001565072,0.9964849,0.0004450406,0.001806581,0.0006218317,0.000003598462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.280948,0.0008250038,0.7058043,0.000272296,0.00003830305,0.00009373419,0.0002293841,0.0001992511,0.01158969],"genre_scores_gemma":[0.9425156,0.0002646074,0.05380197,0.00004629321,0.00001323043,0.00009314627,0.0001825167,0.00004507813,0.003037637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003768148,"threshold_uncertainty_score":0.007492423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004507093029491961,"score_gpt":0.184532579347813,"score_spread":0.180025486318321,"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."}}