{"id":"W2132946808","doi":"10.1145/2461912.2462018","title":"Embedded thin shells for wrinkle simulation","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Autodesk","keywords":"Wrinkle; Discretization; Surface (topology); Computer science; Deformation (meteorology); Finite element method; Quadratic equation; Matching (statistics); Resolution (logic); Materials science; Geometry; Artificial intelligence; Structural engineering; Mathematics; Mathematical analysis; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004866875,0.000116967,0.0001073732,0.00008542227,0.00009455822,0.00002170706,0.0001097952,0.00009860734,0.0002002142],"category_scores_gemma":[0.000009037569,0.000117604,0.00007473163,0.0001241661,0.00001017887,0.0001918772,0.000001295118,0.00009759943,0.00005154105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001712244,"about_ca_system_score_gemma":0.000004847403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002438576,"about_ca_topic_score_gemma":0.00000690067,"domain_scores_codex":[0.999474,0.000006360471,0.0001526463,0.0001173996,0.00007691653,0.0001726962],"domain_scores_gemma":[0.9994673,0.0001197362,0.0000165293,0.000291062,0.00005332586,0.00005210735],"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":[0.00000964134,0.00003630194,5.990101e-7,0.00006087873,0.00003028436,1.85912e-7,0.0001188621,0.9618933,0.01978444,0.001815259,0.00009196914,0.01615825],"study_design_scores_gemma":[0.0007891378,0.0001524348,0.00005539771,0.00003505108,0.00005678744,0.000001659244,0.0001109245,0.7876244,0.1254553,0.07627606,0.009019674,0.0004232114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02920865,0.00002651086,0.9690176,0.00007222361,0.0006656106,0.0004324882,0.00003649558,0.0003451923,0.0001952597],"genre_scores_gemma":[0.9819548,0.0001220473,0.01741437,0.0001320264,0.00004232138,0.0001565148,0.0000117048,0.00004158929,0.000124654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9527462,"threshold_uncertainty_score":0.4795751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853256690782469,"score_gpt":0.249221705601754,"score_spread":0.2306891386939293,"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."}}