{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007377702,0.002251763,0.0009858777,0.001770029,0.00117752,0.003611795,0.002832478,0.001991036,0.5334687],"category_scores_gemma":[0.002216419,0.000852656,0.0009910789,0.001247788,0.0004400518,0.002478058,0.004058216,0.00150689,0.4504469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007779785,"about_ca_system_score_gemma":0.001216603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788661,"about_ca_topic_score_gemma":0.00602107,"domain_scores_codex":[0.9991664,0.00008422011,0.00005840102,0.0002615788,0.0003111495,0.0001183779],"domain_scores_gemma":[0.9993082,0.0001016427,0.00004077102,0.0002358461,0.0002071466,0.0001064239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002649992,0.00005614552,0.0007376998,0.0006701554,0.00004992619,0.000236607,0.00007991997,0.0009671996,0.007141163,0.007227126,0.744689,0.2378801],"study_design_scores_gemma":[0.00004085919,0.00003440682,0.0005325646,0.00006249677,0.0000155345,0.0002297485,0.0000291143,0.003960785,0.003993443,0.004132425,0.9869381,0.00003050974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004228099,0.00276883,0.1720582,0.002048285,0.004876484,0.0007761382,0.09586048,0.2688353,0.4485482],"genre_scores_gemma":[0.02862708,0.002417589,0.112159,0.003698699,0.0007483312,0.00116948,0.2128944,0.04446023,0.5938252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5334687,"threshold_uncertainty_score":0,"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."}}