{"id":"W1975429862","doi":"10.3390/sym6030516","title":"Symmetry Adapted Assur Decompositions","year":2014,"lang":"en","type":"article","venue":"Symmetry","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rigidity (electromagnetism); Symmetry (geometry); Matrix (chemical analysis); Symmetric matrix; Mathematics; Computer science; Pure mathematics; Algebra over a field; Geometry; Physics; Quantum mechanics; Materials science","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":[0.00006810026,0.000107655,0.0001422068,0.0001326225,0.0000679576,0.00003407239,0.00009384343,0.00006599104,0.000204153],"category_scores_gemma":[0.00002714675,0.00009781286,0.00007571993,0.0004056539,0.00001153143,0.00008776545,0.00001435206,0.00009678765,0.0001208701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312075,"about_ca_system_score_gemma":0.000002611705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065447,"about_ca_topic_score_gemma":0.000007018114,"domain_scores_codex":[0.9994367,0.0000208236,0.0001547075,0.0001173977,0.0001129853,0.0001573935],"domain_scores_gemma":[0.9996586,0.00004624089,0.00001955171,0.000175831,0.00003408351,0.0000656302],"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":[0.00002098495,0.0001028403,0.02048668,0.0002645115,0.001057942,0.00001115774,0.0002412911,0.4538211,0.03019961,0.1706635,0.04494017,0.2781903],"study_design_scores_gemma":[0.00036206,0.00003047336,0.03284936,0.00002732644,0.0001059603,0.00001131327,0.00004395114,0.942553,0.007832292,0.00283821,0.01292324,0.0004228342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5258607,0.0007884243,0.2928441,0.0003295604,0.001402426,0.0001756955,0.00002427575,0.001337841,0.1772369],"genre_scores_gemma":[0.9921393,0.00002164004,0.007377367,0.00009759477,0.0001603659,0.000003729393,0.00004677603,0.00002027078,0.0001329136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4887319,"threshold_uncertainty_score":0.3988692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004886683914097255,"score_gpt":0.1953295486681136,"score_spread":0.1904428647540164,"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."}}