{"id":"W2089619373","doi":"10.1142/s0219876206000813","title":"A METHOD FOR QUASI-STATIC ANALYSIS OF TOPOLOGICALLY VARIABLE LATTICE STRUCTURES","year":2006,"lang":"en","type":"article","venue":"International Journal of Computational Methods","topic":"Composite Material Mechanics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inverse; State variable; Lattice (music); Nonlinear system; Truss; Crystal structure; Nucleation; Mathematics; Physics; Geometry; Chemistry; Crystallography; Quantum mechanics; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104172,0.0001271324,0.0004321356,0.0006011326,0.00002195032,0.0000530301,0.000366838,0.00006251427,0.0001326599],"category_scores_gemma":[0.0002112801,0.0001161611,0.0002444713,0.0003713068,0.00002042628,0.0001152191,0.00003229449,0.0001014289,4.208603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009287772,"about_ca_system_score_gemma":0.00005090451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104627,"about_ca_topic_score_gemma":0.000002160954,"domain_scores_codex":[0.9983411,0.0001996897,0.0008292663,0.0001017512,0.0004112386,0.000116898],"domain_scores_gemma":[0.9962728,0.002194857,0.0003771041,0.00007097747,0.001042907,0.00004136625],"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":[0.00008944132,0.00005531234,0.00003475671,0.00002172988,0.001500635,0.000003866588,0.00004846933,0.8494537,0.0171334,0.1204514,0.00009979187,0.01110754],"study_design_scores_gemma":[0.0004187471,0.00008858469,0.001687544,0.00001538412,0.0004427697,0.00003854055,0.00001477189,0.647666,0.00549243,0.3428566,0.001186538,0.00009204041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02748764,0.0001058591,0.9707381,0.0001414807,0.001087896,0.000081087,0.00008229332,0.00002408487,0.0002515693],"genre_scores_gemma":[0.1794451,0.000002907463,0.8202301,0.00005935982,0.0002037214,0.000003430118,0.00003108844,0.00001317141,0.00001112226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2224053,"threshold_uncertainty_score":0.4736912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693164229070102,"score_gpt":0.3722716155647984,"score_spread":0.3553399732740974,"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."}}