{"id":"W4415077111","doi":"10.1111/cgf.70257","title":"TopoGen: Topology‐Aware 3D Generation with Persistence Points","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China; Ministry of Education - Singapore","keywords":"Controllability; Embedding; Persistence (discontinuity); Topology (electrical circuits); Generative grammar; Point (geometry)","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":[0.0000580994,0.0001236953,0.0001410036,0.0001835295,0.000125433,0.00004337853,0.0001408213,0.0000735024,0.000009021863],"category_scores_gemma":[0.000001491954,0.0001113275,0.00007724221,0.0003383788,0.00003891602,0.00006312891,0.00003573978,0.0001247643,0.000007051655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002002971,"about_ca_system_score_gemma":0.00001599563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006570454,"about_ca_topic_score_gemma":0.00005102271,"domain_scores_codex":[0.9993787,0.00001377098,0.0001309307,0.000186684,0.00008501942,0.0002049051],"domain_scores_gemma":[0.9996458,0.00001410198,0.00001410882,0.0002281742,0.00006080193,0.00003696942],"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":[0.00002028723,0.0001075307,0.03312401,0.00024407,0.001243218,0.00005938155,0.0007437769,0.8336591,0.0004153444,0.04039556,0.04692628,0.04306149],"study_design_scores_gemma":[0.0001431621,0.00002731079,0.0002110859,0.0000302691,0.0000393864,0.000005429534,0.00003112648,0.99772,0.0002138823,0.0004241866,0.00102271,0.0001314364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05758436,0.0004228124,0.9399796,0.0007316897,0.0003817482,0.00005303059,0.000003546909,0.0002177587,0.0006254841],"genre_scores_gemma":[0.9926425,0.00005600596,0.006394522,0.0006638423,0.00008599784,0.000006572778,0.00002451359,0.00001192696,0.000114138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9350581,"threshold_uncertainty_score":0.4539804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140856395696007,"score_gpt":0.2070224489624111,"score_spread":0.1929368093928104,"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."}}