{"id":"W2796290181","doi":"10.1145/3197517.3201311","title":"DeepMimic","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":803,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Character animation; Motion capture; Generality; Artificial intelligence; Computer animation; Human–computer interaction; Motion (physics); Reinforcement learning; Flexibility (engineering); Robot; Computer graphics (images)","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":[0.0003398944,0.001123454,0.0006412037,0.0004612804,0.0005430604,0.0011725,0.002288185,0.001174481,0.04831653],"category_scores_gemma":[0.001059131,0.0005578644,0.0006594484,0.0003758762,0.000385248,0.001544968,0.001683503,0.001807989,0.0132396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007781127,"about_ca_system_score_gemma":0.001224225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043992,"about_ca_topic_score_gemma":0.01188255,"domain_scores_codex":[0.9998005,0.00002642785,0.00001159158,0.00007405818,0.00004646959,0.00004096634],"domain_scores_gemma":[0.999813,0.00004378769,0.00001205135,0.00005155133,0.00005037338,0.0000292682],"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":[0.0007461227,0.0003585315,0.002207308,0.0008526203,0.0002358494,0.000417783,0.0001222464,0.1617346,0.01405026,0.05484892,0.2386502,0.5257757],"study_design_scores_gemma":[0.0001401985,0.0001465403,0.0003878965,0.00006336525,0.00005060009,0.0001832907,0.00003679698,0.7939982,0.01120938,0.02704401,0.1667079,0.00003182479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03693565,0.005194507,0.6855717,0.002888318,0.003968302,0.0005872035,0.01107499,0.0876624,0.166117],"genre_scores_gemma":[0.4044464,0.002617109,0.3996791,0.003122078,0.0004597004,0.001208833,0.02360956,0.006632959,0.1582243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04831653,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943536739836479,"score_gpt":0.2336562823939826,"score_spread":0.2142209149956178,"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."}}