{"id":"W3081016634","doi":"10.1016/j.cad.2020.102931","title":"Interacting with Self-Similarity","year":2020,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Google; Adobe Systems; National Science Foundation","keywords":"Similarity (geometry); Signature (topology); Computer science; Edit distance; Segmentation; Metric (unit); Heat kernel signature; Scale (ratio); Geometry processing; Shape analysis (program analysis); Kernel (algebra); Surface (topology); Artificial intelligence; Algorithm; Pattern recognition (psychology); Polygon mesh; Geometry; Mathematics; Active shape model; Computer graphics (images); Image (mathematics)","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":[0.000427468,0.0003010107,0.0005862114,0.000724152,0.0007198841,0.001555027,0.0007076039,0.001082611,0.008963003],"category_scores_gemma":[0.002027512,0.0002965418,0.0005097385,0.000460391,0.000987655,0.001753713,0.002624264,0.0006199483,0.001899052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425628,"about_ca_system_score_gemma":0.0002364192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913889,"about_ca_topic_score_gemma":0.0002445723,"domain_scores_codex":[0.9994492,0.000120623,0.00001748113,0.000099379,0.0002603086,0.00005289851],"domain_scores_gemma":[0.999317,0.000204712,0.00005965453,0.0002258932,0.0001092177,0.00008344017],"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":[0.0003779727,0.0004387986,0.004514841,0.0003162898,0.0001793118,0.001336402,0.00179539,0.1073655,0.18292,0.502924,0.008106817,0.1897246],"study_design_scores_gemma":[0.00006728421,0.0002817987,0.003314776,0.00002421393,0.00004559813,0.001188437,0.0005815597,0.7655048,0.02950705,0.1782029,0.02121498,0.00006645253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3385597,0.000457879,0.5530424,0.0005393765,0.0003778464,0.0001256053,0.00007741834,0.001425829,0.105394],"genre_scores_gemma":[0.9536297,0.0001510523,0.02367515,0.0002355071,0.00007032408,0.00005451571,0.00008724564,0.000232873,0.02186353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008963003,"threshold_uncertainty_score":0.02998418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125714092101494,"score_gpt":0.1884883592082162,"score_spread":0.1572312182872012,"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."}}