{"id":"W2949428055","doi":"10.32920/ryerson.14638437.v1","title":"Symmetry Adapted Assur Decompositions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"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); Mathematics; Pure mathematics; Theoretical physics; Computer science; Algebra over a field; Physics; Geometry; Engineering; Structural engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000225903,0.000146323,0.0002111191,0.00008921323,0.00003136075,0.000109137,0.00009852064,0.0001617642,0.001446924],"category_scores_gemma":[0.000006350248,0.0001356014,0.0001464966,0.0001603504,0.000005218732,0.00004093522,0.000100324,0.0002350944,0.00001592465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000512102,"about_ca_system_score_gemma":0.00001223931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004080467,"about_ca_topic_score_gemma":0.00005253213,"domain_scores_codex":[0.9994341,0.0000123993,0.000181757,0.0001676526,0.000100789,0.000103268],"domain_scores_gemma":[0.9996152,0.00001549502,0.00002096884,0.0002335871,0.00006998586,0.00004479558],"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":[3.189207e-7,0.000004237011,0.0000872706,0.0000480895,0.0002134359,0.000004268055,0.00002272088,0.9953236,0.000448327,0.0004062492,0.001396902,0.002044605],"study_design_scores_gemma":[0.00005594396,0.000001952268,0.003188319,0.00004936111,0.0001217631,0.000003985177,0.00005128108,0.9931785,0.002458673,0.000279913,0.0003424961,0.0002677645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2699073,0.002898581,0.6104531,0.0002901701,0.00233313,0.0002465037,0.00005252563,0.00157603,0.1122427],"genre_scores_gemma":[0.961235,0.0002504117,0.0373577,0.00004275113,0.0001054063,0.00001030884,0.0006876208,0.0000222403,0.0002884947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6913278,"threshold_uncertainty_score":0.9994659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398336357399529,"score_gpt":0.2120871943188939,"score_spread":0.2026888579614944,"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."}}