{"id":"W2375068441","doi":"","title":"The Research and Realization In Hand Language Animation Of 3D Virtual Human Based On OpenGL","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Animation; Key frame; Gesture; OpenGL; Computer facial animation; Computer animation; Key (lock); Frame (networking); Motion (physics); Artificial intelligence; Computer graphics (images); Computer vision; Virtual actor; Facial motion capture; Skeletal animation; Realization (probability); Virtual reality; Visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007521592,0.00006950931,0.00008901324,0.0001988588,0.0002851828,0.0001254869,0.0004344555,0.0000465715,0.000003410614],"category_scores_gemma":[0.000002477189,0.00005490951,0.00001324738,0.0005368694,0.0001001767,0.0001185885,0.0001075957,0.000107105,0.00001776128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546105,"about_ca_system_score_gemma":0.00002906688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009579476,"about_ca_topic_score_gemma":0.0001060073,"domain_scores_codex":[0.9990325,0.0001555101,0.0002432106,0.0002520036,0.00017541,0.0001413439],"domain_scores_gemma":[0.9991699,0.0001909644,0.00007676963,0.0003653704,0.0001612162,0.00003579515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002517915,0.0007242759,0.001848142,0.00008230987,0.00001901973,0.000003670458,0.01720749,0.0001145062,0.05145381,0.3486778,0.001486638,0.5783571],"study_design_scores_gemma":[0.007826299,0.002836124,0.1802651,0.0009937888,0.00002819739,0.00006776081,0.0024441,0.2180948,0.290063,0.04075316,0.2549097,0.001718058],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02341403,0.00005316531,0.9713716,0.0001574236,0.00001201287,0.0008367745,0.000004752351,0.00003539177,0.00411486],"genre_scores_gemma":[0.9720885,0.000005658544,0.0273672,0.00005652954,0.00004150215,0.0003121705,0.00001573316,0.00000734693,0.0001054102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9486744,"threshold_uncertainty_score":0.2239145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06122790399235081,"score_gpt":0.3264602148135867,"score_spread":0.2652323108212359,"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."}}