{"id":"W2979513045","doi":"10.1557/mrs.2019.231","title":"Imperfect architected materials: Mechanics and topology optimization","year":2019,"lang":"en","type":"article","venue":"MRS Bulletin","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Topology optimization; Imperfect; Topology (electrical circuits); Materials science; Computer science; Engineering; Structural engineering; Finite element method; Electrical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009656256,0.0001374877,0.0001697411,0.0001038816,0.00002833047,0.00002262911,0.00008133295,0.0001266497,0.003250696],"category_scores_gemma":[0.00003004494,0.0001516146,0.00001562911,0.00008424261,0.00001557118,0.00002493657,0.00003860048,0.0001056813,0.0001733431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002687808,"about_ca_system_score_gemma":0.000003859242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006739423,"about_ca_topic_score_gemma":7.117363e-7,"domain_scores_codex":[0.9993691,0.000029592,0.0001703312,0.0001630156,0.00005369869,0.000214223],"domain_scores_gemma":[0.9997027,0.00004834956,0.00001997813,0.0001676969,0.00001800155,0.00004327008],"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":[0.000005644328,0.000003321768,0.00005070137,0.00004009483,0.0000175744,0.000001711827,0.00007666939,0.9894006,0.008015383,0.001746576,0.0005037708,0.0001379905],"study_design_scores_gemma":[0.0008364388,0.00008505656,0.000238578,0.00003046827,0.00002145204,0.00008181684,0.00007175672,0.9710384,0.01126697,0.0001593753,0.01571166,0.0004580308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3356328,0.0003756445,0.6560077,0.0006244276,0.002153945,0.000430005,0.00001895509,0.001287727,0.003468785],"genre_scores_gemma":[0.9603948,0.0001420914,0.03889983,0.00007987845,0.00007049853,0.00002546539,0.00002951607,0.0000670539,0.0002908694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.624762,"threshold_uncertainty_score":0.9976605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003181670941620673,"score_gpt":0.1779862562203696,"score_spread":0.1748045852787489,"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."}}