{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00224382,0.002375846,0.002079672,0.002636379,0.001722946,0.008171097,0.002628686,0.00524672,0.3886749],"category_scores_gemma":[0.01043971,0.000775029,0.001694679,0.001334271,0.0009373552,0.003903319,0.002163246,0.004927259,0.2957499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676174,"about_ca_system_score_gemma":0.002098742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009208323,"about_ca_topic_score_gemma":0.001463865,"domain_scores_codex":[0.9978769,0.0001872409,0.0002066243,0.0004002351,0.001097806,0.000231151],"domain_scores_gemma":[0.9927939,0.0007200984,0.0004449639,0.0003953332,0.003896434,0.001749193],"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":[0.00002701327,0.00001274912,0.00003082119,0.0001455704,0.000003800832,0.00003753011,0.000004123675,0.00001383656,0.00009665219,0.0002732576,0.9831246,0.01622999],"study_design_scores_gemma":[0.0000137834,0.00001251808,0.00009911062,0.0001102088,0.000003418913,0.00004088212,0.0000101322,0.00002520368,0.00005497839,0.0001929116,0.9994324,0.000004443321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00010428,0.003991704,0.0003259007,0.01878267,0.9386569,0.000106003,0.0005067205,0.0004510742,0.03707468],"genre_scores_gemma":[0.00131562,0.007207822,0.0004289355,0.0217673,0.6674384,0.0001539448,0.001138744,0.0004666112,0.3000826],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3886749,"threshold_uncertainty_score":0.8719811,"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."}}