{"id":"W2133315051","doi":"10.1109/robot.2001.933102","title":"Dynamic compliant quadruped walking","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Quadrupedalism; Actuator; Torque; Computer science; Gait; Control theory (sociology); Simulation; Power (physics); Control engineering; Engineering; Artificial intelligence; Control (management); Physical medicine and rehabilitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008351117,0.0003240204,0.0002272517,0.0002035942,0.0003309049,0.0003471894,0.0004340277,0.0002353152,0.001587939],"category_scores_gemma":[0.0003649855,0.0001168226,0.0001740569,0.00009617878,0.0002521396,0.0003048504,0.0005815316,0.000273151,0.0003567733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009303958,"about_ca_system_score_gemma":0.0001765151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002906554,"about_ca_topic_score_gemma":0.0005361445,"domain_scores_codex":[0.9998579,0.0000100247,0.000006558186,0.00002240613,0.00009351945,0.000009544809],"domain_scores_gemma":[0.9998704,0.0000265931,0.00002040582,0.00002432381,0.00004370385,0.00001456223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001246126,0.0001111346,0.0009281769,0.0003203581,0.00005818874,0.0006107595,0.0002220472,0.1920568,0.2876164,0.03833406,0.003632701,0.4759847],"study_design_scores_gemma":[0.00006706543,0.0004730214,0.001509484,0.00005316424,0.00003443088,0.0008165435,0.0000440088,0.9065485,0.04318135,0.01550185,0.03171343,0.00005711076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07152069,0.0003045342,0.9129087,0.00009570329,0.000104322,0.0001059873,0.00006589029,0.001281241,0.013613],"genre_scores_gemma":[0.8077173,0.0003736054,0.1834323,0.0001366579,0.00004517447,0.0001772585,0.0002043646,0.00008405973,0.007829347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001587939,"threshold_uncertainty_score":0.005312145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159277979300425,"score_gpt":0.1949710571530738,"score_spread":0.1833782773600695,"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."}}