{"id":"W4412673754","doi":"10.1145/3730842","title":"HoLa: B-Rep Generation using a Holistic Latent Representation","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada); Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China","keywords":"Representation (politics); Computer science; Artificial intelligence; Computer graphics (images); Political science","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":[0.00007723684,0.0001078103,0.0001141269,0.000382203,0.0001868739,0.00004820193,0.00009800338,0.00008186104,0.00001714026],"category_scores_gemma":[0.00001688833,0.0001164576,0.0001207931,0.0007562365,0.00001888899,0.0000936765,0.000001642051,0.0001850749,0.000006538033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004763917,"about_ca_system_score_gemma":0.00001257987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000059658,"about_ca_topic_score_gemma":0.00006577426,"domain_scores_codex":[0.9993693,0.00002316939,0.000190974,0.0001694634,0.0001224009,0.0001247204],"domain_scores_gemma":[0.999495,0.00003806181,0.00001581419,0.0003632794,0.00005615606,0.00003174589],"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":[0.000002859218,0.00002819151,0.00009878351,0.00001708612,0.0001125644,0.000001307023,0.00006349325,0.9860905,0.004377972,0.0001110921,0.00006750462,0.00902863],"study_design_scores_gemma":[0.0001599509,0.000008036433,0.0002528047,0.00002899824,0.0001905999,0.000001453034,0.00002676556,0.992005,0.00580905,0.001364372,0.00004093302,0.0001120704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.227344,0.0001065769,0.7717945,0.0001276544,0.0002951517,0.00005403435,0.000007857435,0.0001759876,0.00009427375],"genre_scores_gemma":[0.9965119,0.0002615194,0.002921852,0.0001121639,0.00003517033,0.00001478509,0.00001725152,0.00001530219,0.0001099927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.769168,"threshold_uncertainty_score":0.4749005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08458224545713623,"score_gpt":0.3097169366714379,"score_spread":0.2251346912143017,"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."}}