{"id":"W2726254666","doi":"10.1111/cgf.13242","title":"Generalized Matryoshka: Computational Design of Nesting Objects","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nesting (process); Computer science; Object (grammar); Replica; Scale (ratio); Variety (cybernetics); Orientation (vector space); Distributed computing; Theoretical computer science; Computer graphics (images); Artificial intelligence; Mathematics; Geometry; Geography","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":[0.0005604482,0.0004871877,0.0005244458,0.0005122203,0.0004441955,0.001090032,0.001313676,0.0007556342,0.003914481],"category_scores_gemma":[0.001261691,0.000567067,0.0007700682,0.0003823054,0.001217982,0.001132227,0.001735962,0.0007714943,0.0005599858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005660715,"about_ca_system_score_gemma":0.0005522699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254705,"about_ca_topic_score_gemma":0.001638959,"domain_scores_codex":[0.9996538,0.00009793429,0.00001592321,0.00006739288,0.0001315114,0.00003336333],"domain_scores_gemma":[0.9996203,0.0001168358,0.00005362315,0.0001247628,0.00005261452,0.0000317267],"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":[0.00005331512,0.00002845622,0.0008681043,0.0001679683,0.0000185722,0.000203212,0.0002538188,0.6829561,0.01078554,0.2724677,0.001227259,0.03097002],"study_design_scores_gemma":[0.00001385732,0.00003694546,0.000133984,0.00001880527,0.00000526477,0.0001032475,0.00003838625,0.9499404,0.001752835,0.0416401,0.00630626,0.000009959356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04138063,0.0001406201,0.9467289,0.000140984,0.00002872813,0.00005329043,0.00005716607,0.0002197183,0.01124987],"genre_scores_gemma":[0.457727,0.0001748429,0.5337019,0.00006953949,0.00002098859,0.0001730943,0.0001063977,0.0002308068,0.007795452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003914481,"threshold_uncertainty_score":0.0130952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801087954843905,"score_gpt":0.2396599212321464,"score_spread":0.2116490416837074,"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."}}