{"id":"W4242613534","doi":"10.1145/1833349.1781156","title":"Generalized biped walking control","year":2010,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Control (management); Control theory (sociology); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004115215,0.0000348074,0.00003890615,0.00002494161,0.00001933426,0.00001973437,0.00002750972,0.00002527919,0.002408626],"category_scores_gemma":[0.000006421727,0.0000306688,0.00001691843,0.00002372196,0.000003987262,0.00004471038,0.000001572194,0.0000615239,0.0002397222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003238142,"about_ca_system_score_gemma":0.000001207076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002014777,"about_ca_topic_score_gemma":0.00002407759,"domain_scores_codex":[0.9998074,0.000003355961,0.00005827799,0.00003361961,0.00003491134,0.00006245622],"domain_scores_gemma":[0.9999031,0.000006031526,0.000004050217,0.00005325342,0.000008785134,0.00002478039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001149015,0.000005534072,0.000219885,0.000007725289,0.000009441414,7.148662e-7,0.0001006787,0.0008048881,0.9470503,0.03387583,0.003601615,0.01432224],"study_design_scores_gemma":[0.002193705,0.00001223342,0.01893274,0.000005673687,0.00001130155,0.00000581047,0.00002570497,0.8310315,0.03387247,0.001273402,0.1123279,0.0003075315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085636,0.000007393123,0.03827104,0.00006974732,0.0003870745,0.00005029444,6.952597e-7,0.0005523946,0.05209776],"genre_scores_gemma":[0.9973704,0.000001610003,0.001686331,0.0001113657,0.0001042258,0.000003082522,0.00000196772,0.000007488139,0.0007135763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9131778,"threshold_uncertainty_score":0.9985033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006360610502525526,"score_gpt":0.2028490837500477,"score_spread":0.1964884732475222,"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."}}