{"id":"W4386141973","doi":"10.1145/3606932","title":"Adaptive Rigidification of Discrete Shells","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Discretization; Curvature; Computation; Scaling; Degrees of freedom (physics and chemistry); Bending; Oracle; Computer science; Equivalence (formal languages); Work (physics); Metric (unit); Mechanics; Algorithm; Materials science; Mathematics; Physics; Engineering; Mechanical engineering; Mathematical analysis; Composite material; Geometry; Discrete mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004426137,0.0005425985,0.0006062817,0.0004558878,0.0004423667,0.0006507139,0.001478291,0.0007449058,0.003531878],"category_scores_gemma":[0.001725094,0.0004763717,0.0007343919,0.0002490214,0.00085176,0.0009507961,0.001616118,0.0009566161,0.0007198327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597743,"about_ca_system_score_gemma":0.0005028211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145501,"about_ca_topic_score_gemma":0.001254694,"domain_scores_codex":[0.9997465,0.00005593166,0.00001573994,0.00004647443,0.0001054774,0.00002985635],"domain_scores_gemma":[0.9993479,0.0002051768,0.00008477278,0.0002484111,0.00006651557,0.00004721385],"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":[0.0001304675,0.00006097987,0.0007193423,0.00005477879,0.00004023096,0.0001733454,0.0001742198,0.847394,0.04735423,0.04318349,0.000614723,0.06010007],"study_design_scores_gemma":[0.000007343824,0.00001461345,0.00004255655,0.000003750758,0.000002917085,0.00001822384,0.000005761639,0.9898199,0.005067522,0.004050259,0.000960462,0.000006632492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04829168,0.00004992449,0.9466608,0.00007341798,0.00004081131,0.00004409877,0.00003149836,0.0006378777,0.004169921],"genre_scores_gemma":[0.5352386,0.0001206608,0.4580647,0.0001357736,0.00003261393,0.0001479838,0.0001133833,0.0005614895,0.005584845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003531878,"threshold_uncertainty_score":0.01181531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658524339718835,"score_gpt":0.243458477247802,"score_spread":0.2268732338506137,"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."}}