{"id":"W3045337257","doi":"10.1007/s00158-020-02688-z","title":"Spatial gradient interface detection in topology optimization for an unstructured mesh","year":2020,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Finite element method; Topology optimization; Discretization; Topology (electrical circuits); Computer science; Polygon mesh; Computation; Mathematical optimization; Mesh generation; Interface (matter); Computational science; Algorithm; Mathematics; Mathematical analysis; Parallel computing; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117267,0.0006238887,0.0008288267,0.0009328359,0.0003462699,0.0009891395,0.00109444,0.001374004,0.001595548],"category_scores_gemma":[0.00532036,0.0006558057,0.0005086489,0.0005592984,0.0008721232,0.001463677,0.00135466,0.00112751,0.0003657711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515928,"about_ca_system_score_gemma":0.0009243873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401449,"about_ca_topic_score_gemma":0.002456374,"domain_scores_codex":[0.9996183,0.0001316015,0.00001522285,0.00005244529,0.0001551405,0.00002717561],"domain_scores_gemma":[0.9985293,0.0009664117,0.00009937326,0.00008703514,0.0002553992,0.00006232816],"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":[0.0002506186,0.0001646209,0.00145042,0.0002227802,0.00003834234,0.00009044055,0.0001291569,0.7944059,0.01803669,0.03806597,0.002502983,0.1446421],"study_design_scores_gemma":[0.00000318498,0.000006668327,0.00003033183,0.000001780526,9.439533e-7,0.000005246598,0.000003108993,0.9976947,0.0006453636,0.001487838,0.0001190826,0.000001760286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01038424,0.00005499321,0.9885394,0.0001039741,0.00002471332,0.00002878816,0.00001711117,0.0001634085,0.0006833884],"genre_scores_gemma":[0.3257017,0.0001440455,0.6692787,0.0001484709,0.0000540081,0.0001538618,0.0001304558,0.0003666124,0.004022093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002401449,"threshold_uncertainty_score":0.006201804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095995137908773,"score_gpt":0.2454026844447544,"score_spread":0.2344427330656667,"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."}}