{"id":"W4298013121","doi":"10.1016/j.cma.2022.115632","title":"A full-scale topology optimization method for surface fiber reinforced additive manufacturing parts","year":2022,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Shandong University","keywords":"Topology optimization; Topology (electrical circuits); Fiber; Materials science; Smoothing; Projection (relational algebra); Computer science; Structural engineering; Composite material; Finite element method; Mathematics; Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008095789,0.0003067845,0.0004161262,0.0002628866,0.0001300988,0.00003293217,0.0002000687,0.0001445135,0.00009874194],"category_scores_gemma":[0.00001259286,0.0003975111,0.00006105685,0.0002422383,0.000008311778,0.00006979174,0.0002310017,0.0004115701,8.457085e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639974,"about_ca_system_score_gemma":0.00001039279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001788788,"about_ca_topic_score_gemma":4.130491e-7,"domain_scores_codex":[0.9985601,0.00005666167,0.0004156647,0.0003890791,0.0001054274,0.0004730202],"domain_scores_gemma":[0.9991438,0.0004499496,0.00005237825,0.0002415831,0.00001751841,0.00009473669],"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":[0.00001785544,0.000005072993,1.317315e-7,0.00007862683,0.00003952753,0.000002100307,0.000307669,0.9729849,0.002473573,0.01075713,0.00007058197,0.01326282],"study_design_scores_gemma":[0.0006050264,0.00005560346,0.000002140056,0.00001140707,0.00001938693,0.00003615557,0.00007317887,0.9852341,0.006482776,0.0004694225,0.006620955,0.0003898803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004332134,0.0001156085,0.9970472,0.00002592337,0.001154028,0.000526269,0.00002445967,0.0004808498,0.0001924328],"genre_scores_gemma":[0.006198615,0.00004862306,0.9929941,0.00004814087,0.0001084731,0.0004067701,0.00004971752,0.0001081915,0.00003734634],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01287294,"threshold_uncertainty_score":0.9998477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009962639811623784,"score_gpt":0.2567823480468115,"score_spread":0.2468197082351877,"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."}}