{"id":"W2419285408","doi":"","title":"Self-contained measurement of dynamic legged locomotion: design for robot and field environments","year":2006,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Field (mathematics); Control engineering; Computer science; Robotics; Simulation; Artificial intelligence; Motion (physics); Gait; Engineering; Control theory (sociology); Mathematics; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007384504,0.0004729304,0.0004082024,0.0004231681,0.0002025964,0.0007152859,0.001362932,0.0007348778,0.001665865],"category_scores_gemma":[0.001468704,0.0004580831,0.0002986253,0.00030931,0.0005415848,0.001110872,0.0007448118,0.0005883132,0.001031591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322747,"about_ca_system_score_gemma":0.0004454232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006072651,"about_ca_topic_score_gemma":0.0006314872,"domain_scores_codex":[0.9992719,0.0001396561,0.00003283528,0.0001699716,0.0003565715,0.00002898243],"domain_scores_gemma":[0.9990953,0.0001868472,0.0001493345,0.0001675485,0.0003495658,0.00005132415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001825112,0.0001973283,0.002856932,0.0005039765,0.00009085411,0.0001537503,0.000415456,0.1310687,0.2616193,0.04034841,0.003214609,0.5593482],"study_design_scores_gemma":[0.0000278588,0.0005936886,0.002908101,0.00007613467,0.00003639319,0.0002769328,0.00009714705,0.8984755,0.06291541,0.009616266,0.02491295,0.00006347965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002279215,0.0000802903,0.9966025,0.00004546173,0.00001318368,0.00003186004,0.00001159249,0.0002175983,0.000718252],"genre_scores_gemma":[0.3434836,0.0003785411,0.6502762,0.0001243171,0.00005227219,0.000461166,0.0001127232,0.0001380202,0.004973071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001665865,"threshold_uncertainty_score":0.005572855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009371593601022502,"score_gpt":0.1836507507537739,"score_spread":0.1742791571527514,"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."}}