{"id":"W4286616145","doi":"10.1145/3528223.3530124","title":"Adaptive rigidification of elastic solids","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Preconditioner; Rigid body; Cholesky decomposition; Conjugate gradient method; Norm (philosophy); Laplace operator; Hinge; Computer science; Mathematics; Algorithm; Mathematical analysis; Iterative method; Classical mechanics; Eigenvalues and eigenvectors; Physics","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":[0.0002813769,0.0006948586,0.0007578503,0.000755941,0.0006380809,0.0008594209,0.001523865,0.001055587,0.005743234],"category_scores_gemma":[0.000952346,0.0006014486,0.001036362,0.0005113084,0.001154324,0.0009734088,0.002061913,0.001240028,0.001249169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704007,"about_ca_system_score_gemma":0.0006003556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227168,"about_ca_topic_score_gemma":0.002117263,"domain_scores_codex":[0.9997148,0.00005008572,0.0000135242,0.00005800412,0.0001342606,0.00002936687],"domain_scores_gemma":[0.9996728,0.0001133811,0.0000436947,0.0001055368,0.00004227333,0.00002227684],"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":[0.00007038047,0.00003688251,0.0005958187,0.00008128602,0.00003337779,0.00021078,0.0002017241,0.8468143,0.02596259,0.05279141,0.001307012,0.07189439],"study_design_scores_gemma":[0.000007512921,0.00001289524,0.00006466721,0.000009701658,0.000004240698,0.00005638674,0.00001804122,0.9818029,0.004364457,0.009290594,0.004358695,0.000009951475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02010631,0.00008784224,0.9726415,0.00008217117,0.00004300268,0.00004312104,0.00004965218,0.0005933405,0.006353088],"genre_scores_gemma":[0.414457,0.0003362464,0.5724932,0.0001576357,0.00005890649,0.0001924965,0.0002549045,0.000830407,0.01121926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005743234,"threshold_uncertainty_score":0.01921302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194013201948132,"score_gpt":0.2214973137667237,"score_spread":0.1995571817472424,"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."}}