{"id":"W4308990687","doi":"10.1145/3567728","title":"VideoPoseVR: Authoring Virtual Reality Character Animations with Online Videos","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Human Motion and Animation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Timeline; Animation; Character (mathematics); Workflow; Multimedia; Character animation; Entertainment; Motion (physics); Virtual reality; Human–computer interaction; Computer animation; Computer graphics (images); World Wide Web; Artificial intelligence; Visual arts","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":[0.0007625315,0.001548215,0.0005132916,0.001081046,0.0002900975,0.001201514,0.001550541,0.0008933086,0.01997591],"category_scores_gemma":[0.004292211,0.0005776652,0.00100738,0.0004966517,0.0003968842,0.001649724,0.001978959,0.001017238,0.004949874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550762,"about_ca_system_score_gemma":0.0003043404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008822553,"about_ca_topic_score_gemma":0.00193859,"domain_scores_codex":[0.9995195,0.0001410253,0.00003743128,0.0001104432,0.0001419028,0.00004977009],"domain_scores_gemma":[0.9986853,0.0006344485,0.00006478,0.0003201872,0.0001509947,0.000144297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001373016,0.0006709257,0.002267551,0.001940429,0.0002751633,0.001930077,0.0018596,0.04114321,0.1291129,0.009478253,0.08932334,0.7206256],"study_design_scores_gemma":[0.0005308979,0.001124661,0.004204732,0.0003734409,0.0001384176,0.002575891,0.0006821494,0.4549271,0.1623478,0.01274834,0.3599902,0.0003563343],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02200623,0.0004793754,0.88481,0.0002019806,0.000319185,0.0007061019,0.00321994,0.07699434,0.01126286],"genre_scores_gemma":[0.1832701,0.0008326386,0.7815285,0.0002800333,0.0001480569,0.0008662416,0.008190242,0.008711788,0.01617241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01997591,"threshold_uncertainty_score":0.06682605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082921757032266,"score_gpt":0.2929891244697343,"score_spread":0.2421599068994116,"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."}}