{"id":"W2088630585","doi":"10.1145/2522628.2522902","title":"Pareto Optimal Control for Natural and Supernatural Motions","year":2013,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jump; Optimal control; Pareto optimal; Pareto principle; Motion (physics); Control theory (sociology); Computer science; Motion control; Set (abstract data type); Task (project management); Multi-objective optimization; Span (engineering); Control (management); Mathematical optimization; Mathematics; Physics; Robot; Engineering; Artificial intelligence","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":[0.00132639,0.0008863351,0.000648419,0.0009206683,0.000742187,0.00105747,0.0007506401,0.0007998366,0.002265747],"category_scores_gemma":[0.003243305,0.0004083443,0.000674889,0.0004385655,0.001988909,0.0008004569,0.001492026,0.001211853,0.0002698437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271999,"about_ca_system_score_gemma":0.001175261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857193,"about_ca_topic_score_gemma":0.002431062,"domain_scores_codex":[0.9995752,0.0001162925,0.00001903615,0.00007043104,0.0001601728,0.00005891888],"domain_scores_gemma":[0.9989316,0.0006819111,0.0001226704,0.00006624444,0.0001409918,0.00005662168],"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":[0.00002927359,0.00002672935,0.0002048501,0.00004689734,0.00002074178,0.00002836493,0.00006437239,0.9266753,0.001690084,0.05814843,0.0003772484,0.01268764],"study_design_scores_gemma":[0.00001018013,0.00003048696,0.00008662261,0.00001217401,0.000004558981,0.000006722154,0.00001550842,0.9656397,0.0004667833,0.03295762,0.0007630085,0.000006703972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03200222,0.0003412382,0.9572249,0.0002011016,0.00003470526,0.00005466287,0.00003297264,0.0001311224,0.00997706],"genre_scores_gemma":[0.8068137,0.0005433745,0.1854941,0.0001600594,0.00003839898,0.0002975226,0.0001103699,0.0001004661,0.006442037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002857193,"threshold_uncertainty_score":0.009229004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007052219197525795,"score_gpt":0.2022984447464904,"score_spread":0.1952462255489646,"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."}}