{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008139932,0.0001532769,0.0001682064,0.000717263,0.0001560096,0.00004812909,0.0002467781,0.0001009507,0.00003707252],"category_scores_gemma":[0.00002169622,0.0001536289,0.0001858746,0.002070479,0.00003466133,0.00008496386,0.000002222311,0.0003410332,0.00002136166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002111552,"about_ca_system_score_gemma":0.000009860089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003586791,"about_ca_topic_score_gemma":0.00006047541,"domain_scores_codex":[0.9992646,0.00002079912,0.0001931193,0.0001792574,0.0001360731,0.000206166],"domain_scores_gemma":[0.999269,0.000162621,0.00001210523,0.0004622862,0.00003940239,0.00005456102],"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":[0.000004593779,0.00005136032,0.0002187675,0.00003238839,0.0001535451,0.000002059441,0.00003653416,0.9657657,0.00008851052,0.00009201273,0.0002724557,0.03328211],"study_design_scores_gemma":[0.0002369686,0.00002613671,0.0008162138,0.00003085727,0.0001868311,0.000001280116,0.00005884104,0.9940746,0.001002129,0.002439571,0.0009140742,0.0002124824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3858387,0.001062776,0.6098027,0.0009120613,0.0006022012,0.00009535948,0.00002711083,0.0007754845,0.0008835927],"genre_scores_gemma":[0.9977608,0.0008667947,0.0008526478,0.0002117203,0.00001079194,0.00001580767,0.000004836585,0.0000185497,0.0002579961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6119221,"threshold_uncertainty_score":0.6264805,"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."}}