{"id":"W2968722212","doi":"10.48550/arxiv.1908.04520","title":"SDM-NET: Deep Generative Network for Structured Deformable Mesh","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Net (polyhedron); Generative grammar; Computer science; Artificial intelligence; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001236726,0.0003801462,0.0004953099,0.0001499654,0.0001381444,0.00006358173,0.0004611785,0.0003868584,0.00007219129],"category_scores_gemma":[0.000008727234,0.0004248368,0.0003819329,0.0002724608,0.0000306895,0.0001161558,0.0002110503,0.000450125,0.00005119083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118722,"about_ca_system_score_gemma":0.0000560048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004476717,"about_ca_topic_score_gemma":0.0001547474,"domain_scores_codex":[0.998655,0.00003276699,0.0002080214,0.0005742082,0.00006033238,0.0004696284],"domain_scores_gemma":[0.9990085,0.00005003777,0.00009758669,0.0006025052,0.0001232698,0.0001181076],"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":[0.00001968525,0.00000619575,0.0004337723,0.0001306152,0.0004634401,0.000009443685,0.000101129,0.9952958,0.00002110263,0.001932134,0.001365061,0.0002216267],"study_design_scores_gemma":[0.0003749958,0.00001765593,0.000048093,0.00005152906,0.0003373857,7.375347e-7,0.00006023806,0.9856173,0.0001210317,0.01226542,0.0006278378,0.0004777562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1545,0.000383957,0.8416603,0.000009003981,0.0007840703,0.0003313462,0.000084074,0.0003005792,0.001946664],"genre_scores_gemma":[0.993688,0.0003221896,0.003118654,0.00004313596,0.0003613363,0.000002775287,0.0002435393,0.00006515249,0.002155234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.839188,"threshold_uncertainty_score":0.9998204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648433993025419,"score_gpt":0.1652498618651033,"score_spread":0.1287655219348492,"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."}}