{"id":"W3084179233","doi":"10.32393/csme.2020.94","title":"A Generalized Consolidated Topology Optimization and DfAM Design Approach and its Application for Assembly Design","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Bombardier","keywords":"Topology optimization; Topology (electrical circuits); Computer science; Mathematical optimization; Control engineering; Mathematics; Engineering; Structural engineering; Finite element method; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008832377,0.001140803,0.0007266187,0.001035893,0.0004025573,0.0008396659,0.001134495,0.0007373804,0.003662212],"category_scores_gemma":[0.0009607615,0.0004590761,0.001364665,0.0009611313,0.0005139793,0.0005451082,0.0009191586,0.0008316312,0.0007028707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005815515,"about_ca_system_score_gemma":0.001083444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296608,"about_ca_topic_score_gemma":0.004591982,"domain_scores_codex":[0.9993392,0.0001972084,0.00002977533,0.0000865643,0.0003086311,0.00003859304],"domain_scores_gemma":[0.9997097,0.00006995542,0.00003111067,0.00004662303,0.0001330209,0.000009662916],"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":[0.0000404231,0.00003080041,0.0003731905,0.0002775388,0.00004814671,0.00009394843,0.00007474338,0.7639602,0.01319059,0.0368622,0.002149162,0.1828992],"study_design_scores_gemma":[0.00001050952,0.0001262595,0.0002401792,0.00003111069,0.00002052976,0.0001375996,0.00002294203,0.9687761,0.002936387,0.009127666,0.018552,0.00001868119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002181408,0.0001596033,0.9936226,0.00003695723,0.00002122492,0.00003853429,0.00003076992,0.0001329583,0.003775941],"genre_scores_gemma":[0.1054993,0.0004996757,0.8876651,0.00008260685,0.00002704154,0.000317808,0.0002238576,0.0001579033,0.00552677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003662212,"threshold_uncertainty_score":0.01225126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026103145781035,"score_gpt":0.2207288516249523,"score_spread":0.200467820167142,"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."}}