{"id":"W3160273274","doi":"10.1109/vrw52623.2021.00169","title":"bmlSUP – A SMPL Unity Player","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Virtual reality; Human–computer interaction; Animation; Computer graphics (images)","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":[0.0004719513,0.0009841331,0.0005646244,0.000999553,0.0004450986,0.0008793192,0.002229539,0.0009828378,0.0568905],"category_scores_gemma":[0.002245005,0.0004449778,0.0005325612,0.0004856317,0.0003413981,0.001136138,0.00360755,0.0007785244,0.01775409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546262,"about_ca_system_score_gemma":0.0003727395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000902779,"about_ca_topic_score_gemma":0.0009337612,"domain_scores_codex":[0.9994828,0.00006908347,0.00002996444,0.00006732631,0.0002864676,0.00006447184],"domain_scores_gemma":[0.9996504,0.0001063323,0.0000237899,0.00007390948,0.00006920921,0.00007634731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003334475,0.0003390367,0.001593217,0.001051784,0.0001042287,0.001343766,0.001236839,0.00598791,0.1065843,0.03337672,0.3366645,0.5083832],"study_design_scores_gemma":[0.0005224425,0.0003642992,0.003063641,0.0001729458,0.00006688673,0.00237003,0.0001955825,0.1013233,0.08590921,0.01014736,0.7956432,0.000221169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02736153,0.000938521,0.6098574,0.0004333715,0.0003164331,0.00101733,0.009167798,0.2547023,0.09620543],"genre_scores_gemma":[0.3624344,0.0009714135,0.4234631,0.001237038,0.0001616432,0.002721098,0.02917862,0.0430368,0.1367958],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0568905,"threshold_uncertainty_score":0.1903177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399388235709104,"score_gpt":0.2715207540676641,"score_spread":0.227526871710573,"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."}}