{"id":"W2964652035","doi":"10.1145/3340260","title":"VIPER","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Electronic Arts (Canada); Google (Canada); University of Victoria","funders":"Agence Nationale de la Recherche","keywords":"Rod; Bundle; Polygon mesh; Position (finance); Connecting rod; Isotropy; Computer science; Deformation (meteorology); Representation (politics); Surface (topology); Vertex (graph theory); Degrees of freedom (physics and chemistry); Topology (electrical circuits); Physics; Geometry; Materials science; Mechanical engineering; Mathematics; Computer graphics (images); Graph; Engineering; Optics; Theoretical computer science; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009107842,0.0001139549,0.0001569976,0.0001340862,0.00002842603,0.00003943034,0.0004416413,0.00004830895,0.000005835368],"category_scores_gemma":[0.00001630482,0.00007792176,0.00009605899,0.0001523234,0.00002984117,0.000126829,0.0002240838,0.0002056218,0.000002158014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001126163,"about_ca_system_score_gemma":0.000001590347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005387185,"about_ca_topic_score_gemma":1.993328e-7,"domain_scores_codex":[0.9995282,0.000002133942,0.0001323373,0.0001384563,0.0001049958,0.00009382962],"domain_scores_gemma":[0.9996019,0.00003507304,0.00004884336,0.0001812715,0.0001118219,0.00002107511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002867234,0.0006405906,0.1360468,0.002026125,0.002298184,0.000001717811,0.005858471,0.000921846,0.3634363,0.1687883,0.08386726,0.2358277],"study_design_scores_gemma":[0.0002523277,0.0004730683,0.007192925,0.001087385,0.00007063546,0.00001183805,0.00009787816,0.4319431,0.5161603,0.03685732,0.00530326,0.000549903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938072,0.00004314217,0.001963621,0.0002430166,0.0001125566,0.0001262036,0.000002464691,0.0002277995,0.003473985],"genre_scores_gemma":[0.9955355,0.0001166314,0.004045824,0.000196115,0.00004306852,0.000006779145,3.115968e-7,0.0000155142,0.00004028876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4310213,"threshold_uncertainty_score":0.3177557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006651889300673122,"score_gpt":0.2117300556553481,"score_spread":0.205078166354675,"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."}}