{"id":"W3048496284","doi":"10.1145/3386569.3392379","title":"RigNet","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Animation; Character (mathematics); Skeleton (computer programming); Representation (politics); Character animation; Computer graphics (images); Polygon mesh; Surface (topology); Computer animation; 3d model; Skinning; Architecture; Artificial intelligence; Algorithm; Topology (electrical circuits); Computer vision; Mathematics; Geometry; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002578076,0.00008743128,0.00009165413,0.00007691824,0.00006892366,0.00001618986,0.0001444756,0.00005360308,0.000114636],"category_scores_gemma":[0.000006002962,0.00008887357,0.0001108851,0.0004069238,0.00001457292,0.00004371678,8.127128e-7,0.000206878,0.00009703998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005966328,"about_ca_system_score_gemma":0.000003330891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005151988,"about_ca_topic_score_gemma":0.0000100081,"domain_scores_codex":[0.9995722,0.000007276786,0.0001009308,0.0001079705,0.000099569,0.0001121069],"domain_scores_gemma":[0.9996607,0.00002703024,0.000005653681,0.0002046611,0.00001491836,0.00008701575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006863584,0.00003180985,0.00003154117,0.00003676001,0.0001791843,0.000005290929,0.0004212038,0.969108,0.0006912786,0.00016529,0.0014925,0.0278303],"study_design_scores_gemma":[0.0002520638,0.00006495025,0.00005723473,0.00001321288,0.000119589,0.000001736403,0.00007378293,0.9879447,0.002632162,0.001692667,0.006872757,0.0002751612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01649605,0.000106706,0.9800704,0.00176485,0.00009058931,0.00003185341,0.00001969839,0.0005803356,0.0008395183],"genre_scores_gemma":[0.9974653,0.0002484307,0.001467293,0.0007249266,0.0000332968,0.000005983444,0.000004072646,0.00002010267,0.00003061712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809693,"threshold_uncertainty_score":0.3624159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258789781148894,"score_gpt":0.2127141300871455,"score_spread":0.1868351519722561,"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."}}