{"id":"W2960856481","doi":"10.1145/3306346.3322975","title":"Visual smoothness of polyhedral surfaces","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Austrian Science Fund","keywords":"Polygon mesh; Vertex (graph theory); Curvature; Principal curvature; Saddle; Smoothness; Surface (topology); Representation (politics); Computer science; Mathematics; Pyramid (geometry); Mean curvature; Saddle point; Face (sociological concept); Geometry; Combinatorics; Mathematical optimization; Graph; Mathematical analysis","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":[0.000612658,0.0004645696,0.00043077,0.001085911,0.000369294,0.002247787,0.0005334538,0.0007336225,0.003251105],"category_scores_gemma":[0.003559937,0.0004510562,0.0004549471,0.00053252,0.001390096,0.001463027,0.001526379,0.00110579,0.0006094502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148108,"about_ca_system_score_gemma":0.0002339823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006912819,"about_ca_topic_score_gemma":0.0005804435,"domain_scores_codex":[0.9994565,0.0001072909,0.00002327102,0.00009299447,0.0002685326,0.00005144549],"domain_scores_gemma":[0.9991906,0.0003148892,0.00007188331,0.0001981641,0.0001523318,0.00007213225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004717429,0.00007341682,0.003384343,0.0004140624,0.00006784638,0.0005372968,0.001472443,0.3381011,0.1263398,0.3596285,0.006127947,0.1633815],"study_design_scores_gemma":[0.00003910067,0.0001409172,0.005214475,0.0000786887,0.00002850239,0.0007715322,0.0004801711,0.7014496,0.02117175,0.2523115,0.01823353,0.00008028088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1272496,0.000282907,0.860064,0.0005381047,0.0000533619,0.00006459395,0.0002793104,0.0009370626,0.01053105],"genre_scores_gemma":[0.8786162,0.0003362652,0.1149414,0.00009083217,0.00003983501,0.00006355626,0.0003579736,0.0006031793,0.004950909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003251105,"threshold_uncertainty_score":0.01087606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005423574989436,"score_gpt":0.2294568990407052,"score_spread":0.2194026632908108,"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."}}