{"id":"W3127780885","doi":"10.1109/ipas50080.2020.9334945","title":"AI-Enabled High-Level Layer for Posture Recognition Using The Azure Kinect in Unity3D","year":2020,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; Layer (electronics); Artificial intelligence; Computer vision; Human–computer interaction; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758044,0.0001069465,0.0001129587,0.00006997951,0.000164401,0.0001633324,0.0002721775,0.00007177127,0.0001201469],"category_scores_gemma":[0.00006639269,0.00007562563,0.00005342993,0.0004315462,0.00001251819,0.0005353177,0.00006631812,0.0001924114,0.0000547981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002838077,"about_ca_system_score_gemma":0.00005131072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009464064,"about_ca_topic_score_gemma":0.000103652,"domain_scores_codex":[0.9991757,0.00007565491,0.0001751986,0.0002538914,0.0001298997,0.0001896575],"domain_scores_gemma":[0.999492,0.0001038884,0.00005705166,0.000150159,0.0001406602,0.00005617108],"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":[0.0006642939,0.001125605,0.001547092,0.0006166978,0.0003497038,0.000140365,0.01618701,0.004171518,0.2196597,0.06485963,0.1497817,0.5408966],"study_design_scores_gemma":[0.006278993,0.0007849611,0.01004183,0.0002227019,0.0001005881,0.00007631841,0.001206423,0.7276567,0.1323503,0.08447612,0.03535249,0.001452563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1953307,0.00001584464,0.7745332,0.02814191,0.0002968565,0.0005678327,0.00002538547,0.0001769317,0.0009113346],"genre_scores_gemma":[0.9587042,0.000004642897,0.02116852,0.01967113,0.0002558911,0.00002481345,0.000034076,0.00001033395,0.0001264084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7633734,"threshold_uncertainty_score":0.3083924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479390971629981,"score_gpt":0.2975956158266805,"score_spread":0.1496565186636824,"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."}}