{"id":"W4403216249","doi":"10.1080/15397734.2024.2412753","title":"An enhanced proportional topology optimization method with new density filtering weight function for the minimum compliance problem","year":2024,"lang":"en","type":"article","venue":"Mechanics Based Design of Structures and Machines","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Shaanxi Province; China Scholarship Council","keywords":"Topology optimization; Topology (electrical circuits); Mathematical optimization; Mathematics; Function (biology); Weight function; Applied mathematics; Mathematical analysis; Engineering; Combinatorics; Structural engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001494307,0.0001665611,0.0001623967,0.00008577125,0.00009371575,0.00003688191,0.00008969786,0.00008713669,0.00004782503],"category_scores_gemma":[0.00001163736,0.0001163724,0.0000265668,0.000128319,0.0000235392,0.0001192079,0.000009874483,0.0001011038,9.81431e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826557,"about_ca_system_score_gemma":0.00004006406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009842333,"about_ca_topic_score_gemma":0.000007032047,"domain_scores_codex":[0.9993481,0.00002396682,0.0001890196,0.0002084095,0.00008669473,0.0001437966],"domain_scores_gemma":[0.9995544,0.0001612641,0.00004053949,0.000138011,0.00006259591,0.0000431661],"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":[0.00008728039,0.000003236949,0.000002865733,0.0001952428,0.00006105629,4.990042e-7,0.00005905604,0.9522838,0.02847834,0.01294643,0.00006180625,0.005820404],"study_design_scores_gemma":[0.0002682625,0.0001677173,0.00003168791,0.00003998103,0.00007356194,0.00001620023,0.00001132984,0.9711348,0.01921009,0.008859456,0.00005432409,0.0001325544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003898449,0.000552836,0.9977773,0.0001134615,0.0004622431,0.000460353,0.00001622496,0.0002208993,0.000006839427],"genre_scores_gemma":[0.3655773,0.0000316241,0.6341674,0.00002801943,0.00008443871,0.00004087067,0.00002642922,0.00003143811,0.00001251414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3651874,"threshold_uncertainty_score":0.474553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433084348255069,"score_gpt":0.2501542727055042,"score_spread":0.2358234292229535,"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."}}