{"id":"W4402754111","doi":"10.1109/cvpr52733.2024.00186","title":"MoMask: Generative Masked Modeling of 3D Human Motions","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Generative grammar; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005403514,0.001386241,0.0007515272,0.0006457095,0.0002783068,0.000980208,0.002256323,0.001230995,0.005402035],"category_scores_gemma":[0.001879823,0.0008733394,0.001660272,0.0005214469,0.0006200313,0.0008775248,0.001374636,0.001295923,0.001585604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320517,"about_ca_system_score_gemma":0.0008161631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005765919,"about_ca_topic_score_gemma":0.009835877,"domain_scores_codex":[0.9997142,0.00006412402,0.00001258716,0.00009601181,0.00008504423,0.00002793901],"domain_scores_gemma":[0.9997399,0.0001167487,0.00002359187,0.00005805395,0.00003349737,0.00002812612],"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":[0.0002639276,0.00006499303,0.0008027272,0.0002345861,0.0001527454,0.0002182491,0.0001625591,0.8432957,0.0160592,0.01196988,0.01040677,0.1163687],"study_design_scores_gemma":[0.00001168281,0.00002152406,0.00007689662,0.000008521901,0.000006906302,0.00005901887,0.000006750862,0.9929124,0.001404907,0.003516627,0.001967226,0.000007548259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004278604,0.0002979623,0.9904972,0.0001250106,0.00007956863,0.00007260258,0.0006430806,0.003100264,0.0009057593],"genre_scores_gemma":[0.3807213,0.0007587113,0.6009293,0.0007241994,0.0001925693,0.0005011374,0.006140131,0.001797747,0.00823494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005765919,"threshold_uncertainty_score":0.01807159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235685743701925,"score_gpt":0.2585214140729034,"score_spread":0.2261645566358841,"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."}}