{"id":"W2804111946","doi":"10.1002/nme.5840","title":"An asymptotically concentrated method for structural topology optimization based on the SIMLF interpolation","year":2018,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Shaanxi Province; China Scholarship Council","keywords":"Topology optimization; Interpolation (computer graphics); Topology (electrical circuits); Mathematical optimization; Isotropy; Mathematics; Asymptotically optimal algorithm; Applied mathematics; Computer science; Finite element method; Engineering; Structural engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006147997,0.0004075897,0.0005488197,0.0007632298,0.0003388415,0.0004202794,0.0009112986,0.0005569899,0.002929838],"category_scores_gemma":[0.001037001,0.0002726704,0.0005382515,0.0005062299,0.0005267052,0.0006838079,0.0006809245,0.0006327427,0.0005039047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005644587,"about_ca_system_score_gemma":0.0008195189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856963,"about_ca_topic_score_gemma":0.001584363,"domain_scores_codex":[0.9996883,0.00009630112,0.0000122428,0.00004437536,0.0001375483,0.00002122758],"domain_scores_gemma":[0.9997054,0.0001142428,0.00002712143,0.00003517732,0.0001068521,0.00001115738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009013616,0.00004921675,0.0007614242,0.0001614759,0.00003087134,0.00007722263,0.00009864716,0.8200014,0.0136848,0.05290816,0.001622226,0.1105144],"study_design_scores_gemma":[0.000006642329,0.00002145279,0.00005879973,0.000005618877,0.000002640038,0.00001533309,0.000005765185,0.9945084,0.001117393,0.003120303,0.001132306,0.000005295994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006388931,0.00006117421,0.9911258,0.00003670989,0.00001357211,0.00001641716,0.00001349451,0.00009438644,0.002249551],"genre_scores_gemma":[0.4229926,0.0002088629,0.5700867,0.00009005008,0.000039495,0.0002895317,0.000139375,0.0001779487,0.005975408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002929838,"threshold_uncertainty_score":0.009801269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671554129442306,"score_gpt":0.3768940698888681,"score_spread":0.360178528594445,"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."}}