{"id":"W2588539996","doi":"","title":"Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation","year":2011,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Computer animation; Computer facial animation; Computer graphics (images); Point (geometry); Character animation; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005756201,0.00006699898,0.00005590673,0.0000730279,0.0000305497,0.00001245805,0.0001486453,0.0000365881,0.000185198],"category_scores_gemma":[0.000003072593,0.00004716207,0.00004980695,0.0001090119,0.00002183573,0.0001027509,0.00001966181,0.00006671061,0.00004520467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005805904,"about_ca_system_score_gemma":0.000001341407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002296308,"about_ca_topic_score_gemma":0.000001683946,"domain_scores_codex":[0.9996336,0.000003166893,0.0001250273,0.00006685603,0.00009840197,0.00007291467],"domain_scores_gemma":[0.9997994,0.000006299404,0.00002935687,0.00009552074,0.00004922557,0.00002014165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000326871,0.0004293309,0.03627886,0.0006087093,0.0001430489,5.787983e-7,0.009179195,0.0009796793,0.2275109,0.6518388,0.06555801,0.00744022],"study_design_scores_gemma":[0.0007552627,0.0004840389,0.7213806,0.0001755302,0.00004893757,0.000006535813,0.0002050332,0.0742115,0.1916482,0.005565802,0.005008859,0.000509637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199668,0.000004674242,0.001592357,0.00009810094,0.0002201272,0.0001668195,0.000001328048,0.0002691339,0.07768065],"genre_scores_gemma":[0.9979374,0.00001238455,0.001804328,0.00007236909,0.00003278378,0.000003491752,8.762611e-7,0.00001108432,0.0001252434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6851017,"threshold_uncertainty_score":0.2027789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372451578076272,"score_gpt":0.1917842594908459,"score_spread":0.1680597437100832,"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."}}