{"id":"W4415664046","doi":"10.1145/3771546","title":"NeuPPS: Neural Piecewise Parametric Surfaces","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"","keywords":"Piecewise; Surface (topology); Parametric statistics; Parametric surface; Artificial neural network; Representation (politics); Parametric equation; Perceptron; Generalization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003790802,0.0007969444,0.0005991394,0.0006372368,0.0002355446,0.0009122677,0.00182029,0.0009801548,0.005678008],"category_scores_gemma":[0.002279752,0.0004294685,0.00082955,0.0008215624,0.0006395,0.0018888,0.001828232,0.001451104,0.001601514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608699,"about_ca_system_score_gemma":0.0005947562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304968,"about_ca_topic_score_gemma":0.003054409,"domain_scores_codex":[0.9996554,0.00004142134,0.0000152242,0.00007119076,0.0001828425,0.00003402278],"domain_scores_gemma":[0.9996151,0.000121293,0.00003358025,0.0001124294,0.0000893875,0.00002821205],"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":[0.0001093732,0.00004309099,0.0007694826,0.0001115712,0.0000326697,0.0001228342,0.0000768032,0.6155301,0.009500669,0.01905368,0.009551708,0.345098],"study_design_scores_gemma":[0.000003703064,0.00001829389,0.000106325,0.000005624758,0.000002614528,0.00004042051,0.000008084348,0.9883738,0.001472872,0.007704945,0.002258009,0.000005323012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01369145,0.0001683056,0.9787267,0.0001717515,0.00005424902,0.00004511458,0.0003535117,0.004064874,0.002724025],"genre_scores_gemma":[0.4952962,0.0007048084,0.4891768,0.0003619023,0.00007701071,0.0002983968,0.002508882,0.001066389,0.01050967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005678008,"threshold_uncertainty_score":0.01899481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490365571705071,"score_gpt":0.2393566957263666,"score_spread":0.2244530400093159,"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."}}