{"id":"W4410984926","doi":"10.1002/adem.202570037","title":"Exploiting Geometric Frustration in Coupled von Mises Trusses to Program Multifunctional Mechanical Metamaterials","year":2025,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Materials science; von Mises yield criterion; Truss; Frustration; Metamaterial; Structural engineering; Mechanical engineering; Condensed matter physics; Engineering; Physics; Finite element method","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004105536,0.000287438,0.0005480653,0.0004446819,0.0000347293,0.0001554193,0.0001852088,0.0001384351,0.00006613666],"category_scores_gemma":[0.0002894057,0.0002975489,0.00006179985,0.0006695729,0.00000464133,0.000221915,0.00004324215,0.00008971715,0.00002573653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886958,"about_ca_system_score_gemma":0.00001637848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003399244,"about_ca_topic_score_gemma":0.000009507294,"domain_scores_codex":[0.9983112,0.00002656303,0.0007280008,0.0003081189,0.0001899931,0.0004361753],"domain_scores_gemma":[0.999453,0.0001358156,0.00004777322,0.0002164334,0.00005016104,0.00009679388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003456808,0.00002949347,0.000003799942,0.0001661324,0.00003944157,0.00000331265,0.000008258399,0.2561585,0.7335514,0.001942384,0.00001160518,0.008051055],"study_design_scores_gemma":[0.002256228,0.000188763,0.002214204,0.0006530494,0.00005914082,0.000005883031,0.00006313949,0.2503666,0.7374552,0.0006451684,0.005233915,0.0008586742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299154,0.0001557544,0.06533942,0.00005523099,0.002761225,0.0008975153,0.00002842392,0.0007777076,0.00006932962],"genre_scores_gemma":[0.9891091,0.00003960196,0.009959396,0.0000290911,0.0001417623,0.0005814086,0.00003779528,0.00005084681,0.00005100391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05919371,"threshold_uncertainty_score":0.9999477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007178270249296402,"score_gpt":0.2296834710521214,"score_spread":0.222505200802825,"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."}}