{"id":"W2063149203","doi":"10.1145/1409060.1409066","title":"Synthesis of constrained walking skills","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Task (project management); Domain (mathematical analysis); Planner; Motion (physics); Terrain; Control (management); Artificial intelligence; Algorithm; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005428188,0.00008300121,0.0001077107,0.0001984322,0.0001005331,0.000004509265,0.00009298873,0.00006225317,0.0002120279],"category_scores_gemma":[0.00002447675,0.00008849841,0.00008988887,0.0002313878,0.00007442229,0.000073227,5.928005e-7,0.0001238088,0.00002071595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001178134,"about_ca_system_score_gemma":0.000007978005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000220283,"about_ca_topic_score_gemma":0.000007536047,"domain_scores_codex":[0.9995288,0.00001509771,0.0001682551,0.00007540677,0.0001148363,0.00009761238],"domain_scores_gemma":[0.9995832,0.0001308142,0.0000192931,0.0001987487,0.00003071179,0.00003719686],"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":[0.00009530022,0.002907745,0.002699622,0.001355178,0.001678671,0.000090444,0.01460904,0.1736045,0.1669566,0.02716274,0.003241092,0.6055991],"study_design_scores_gemma":[0.002852323,0.0004188107,0.06870123,0.0008541141,0.0003752892,0.0002743537,0.001006586,0.05733698,0.8494514,0.008504316,0.008201995,0.002022617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289222,0.00003284825,0.2665766,0.0001627797,0.0002535209,0.0001334999,0.00004326614,0.0004793781,0.003395963],"genre_scores_gemma":[0.9973543,0.0003088613,0.002226833,0.00003555991,0.00001118214,0.00001029381,0.000001934614,0.00001555586,0.00003552223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6824948,"threshold_uncertainty_score":0.3608861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483291824611824,"score_gpt":0.215084444493184,"score_spread":0.2002515262470657,"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."}}