{"id":"W4403918909","doi":"10.1109/iicaiet62352.2024.10730257","title":"A Motion Capture Quality Comparison Between Rokoko and Kinect","year":2024,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Motion capture; Quality (philosophy); Computer vision; Motion (physics); Artificial intelligence; Computer graphics (images); Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005157702,0.00003877962,0.00008747894,0.00005074046,0.0001369107,0.00005664478,0.0001282956,0.00011089,0.00026605],"category_scores_gemma":[0.0001403647,0.0000331715,0.00001885594,0.0001662072,0.0001579112,0.00006702716,0.00004340511,0.0001451836,0.00005581416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002630537,"about_ca_system_score_gemma":0.00002595978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005909458,"about_ca_topic_score_gemma":0.005586367,"domain_scores_codex":[0.999424,0.000158128,0.0001122471,0.0001079584,0.000103337,0.00009437478],"domain_scores_gemma":[0.9995424,0.0002395774,0.00001742876,0.0001362405,0.00002035604,0.00004403655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001605754,0.00002268632,0.1016653,0.00001856146,0.00001943595,5.22799e-7,0.01295842,3.01161e-7,0.0001004013,0.6222575,0.003870476,0.2590848],"study_design_scores_gemma":[0.0001776213,0.00001831357,0.1466132,0.00002192633,0.00002280802,4.712745e-7,0.009742755,0.001784715,0.0002057039,0.01486663,0.8263445,0.0002013379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5608348,0.002549658,0.01366265,0.08159146,0.0003963728,0.0003971115,0.00001115514,0.00186189,0.3386949],"genre_scores_gemma":[0.9974146,0.00007290793,0.0009177374,0.00006892777,0.00005673284,0.000004880746,0.000007158857,0.000002813436,0.001454238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8224741,"threshold_uncertainty_score":0.8933372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069588209102446,"score_gpt":0.4509003532206974,"score_spread":0.3439415323104528,"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."}}