{"id":"W4390351667","doi":"10.1002/cav.2227","title":"Editorial issue 34.6","year":2023,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Gesture; Computer vision; Translation (biology); Animation; Pixel; Enhanced Data Rates for GSM Evolution; Encoder; Classifier (UML); Image translation; Image (mathematics); Pattern recognition (psychology); Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001818922,0.00009302542,0.0000950747,0.000191563,0.0001811823,0.000358137,0.0001848465,0.00005100078,0.00007356406],"category_scores_gemma":[0.000007958482,0.00009053794,0.00003303534,0.0004377219,0.00002063343,0.0005644595,0.0001524228,0.00009247538,0.001487711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001403011,"about_ca_system_score_gemma":0.00001494002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000290883,"about_ca_topic_score_gemma":0.000001736831,"domain_scores_codex":[0.9992014,0.00004109849,0.0001563915,0.000240045,0.000208994,0.0001520775],"domain_scores_gemma":[0.9996034,0.0000627206,0.0000434054,0.0001476295,0.00006492848,0.00007792214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003544061,0.00001974393,0.00002291299,0.000007183393,0.000007419532,0.00000226778,0.0004940017,0.00003244113,0.0002693105,0.0302033,0.7779107,0.1910271],"study_design_scores_gemma":[0.0004957291,0.0001912574,0.002750449,0.00002316383,0.000004065124,0.000006657253,0.00003595544,0.2053575,0.000269696,0.002753277,0.7878968,0.0002153983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0228096,0.00002137371,0.8751645,0.002436552,0.09236039,0.000233131,0.000005751042,0.001644994,0.005323679],"genre_scores_gemma":[0.798015,0.000128968,0.0156957,0.00363055,0.1723863,0.00004925614,0.0001412059,0.00003837833,0.009914687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8594688,"threshold_uncertainty_score":0.9992898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632627047377317,"score_gpt":0.2643156108639935,"score_spread":0.2479893403902203,"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."}}