{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041562,0.0008515129,0.0005081808,0.0005461364,0.0002466311,0.000625934,0.001672251,0.001073711,0.00540909],"category_scores_gemma":[0.001260585,0.0006074388,0.0009410204,0.0004798156,0.000592977,0.0009978433,0.001290748,0.001544384,0.001682042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009714415,"about_ca_system_score_gemma":0.0005990849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417984,"about_ca_topic_score_gemma":0.01037613,"domain_scores_codex":[0.9998491,0.00002506757,0.000006148454,0.00004877607,0.0000536956,0.00001722973],"domain_scores_gemma":[0.9997935,0.00008920408,0.00001450741,0.00005354514,0.00003028782,0.00001896597],"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":[0.00008124184,0.00004122991,0.0007689018,0.00007670242,0.00006989579,0.0001160949,0.00003752436,0.8666711,0.00561798,0.01583602,0.008207917,0.1024754],"study_design_scores_gemma":[0.000003249327,0.00000626461,0.00003442261,0.0000033718,0.000002401343,0.00001674619,0.000001537635,0.9942787,0.0007915088,0.003883067,0.0009761923,0.000002507373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01149072,0.0003541267,0.9780743,0.0002504626,0.0001040644,0.00004550098,0.0008142364,0.005050232,0.003816305],"genre_scores_gemma":[0.4640604,0.0005236565,0.5126878,0.0006828125,0.0000838167,0.000274361,0.005514055,0.001353393,0.01481968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00540909,"threshold_uncertainty_score":0.0180952,"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."}}