{"id":"W3023681781","doi":"10.1145/3386569.3392410","title":"XNect","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"FP7 Ideas: European Research Council","keywords":"RGB color model; Convolutional neural network; Pose; Joint (building); Range (aeronautics); Key (lock); Artificial neural network; Network architecture; Motion (physics)","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":[0.00005134682,0.00009247447,0.00008069826,0.0001114996,0.0002051396,0.00007996869,0.0004974144,0.00005420022,0.0001304283],"category_scores_gemma":[0.00001588897,0.00009199123,0.000106992,0.0006113567,0.00002438369,0.0003459212,0.000005713009,0.0002362644,0.0003711804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007635179,"about_ca_system_score_gemma":0.00002216497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003889942,"about_ca_topic_score_gemma":0.000005567968,"domain_scores_codex":[0.9992799,0.00003255549,0.0001228396,0.0002511143,0.00017677,0.0001367986],"domain_scores_gemma":[0.9993631,0.0000716004,0.00002949155,0.0003718917,0.00004337064,0.0001205875],"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":[0.00004724615,0.0005252874,0.00007410173,0.00005481785,0.0001679319,0.00005137715,0.002561206,0.0007977107,0.002814541,0.04816927,0.006563824,0.9381727],"study_design_scores_gemma":[0.005202553,0.003099455,0.006674858,0.0001633147,0.0002296672,0.0001567784,0.0004533443,0.119978,0.1648676,0.2414879,0.4545338,0.00315275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004838125,0.00001439859,0.9794565,0.01400101,0.0002211722,0.00008162694,0.000005785763,0.0003944811,0.0009868891],"genre_scores_gemma":[0.9817621,0.00008141076,0.00876235,0.009258808,0.00005346482,0.00001472945,0.000002489278,0.00000856491,0.00005615214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9769239,"threshold_uncertainty_score":0.4770896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526127287632818,"score_gpt":0.2498516518194591,"score_spread":0.204590378943131,"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."}}