{"id":"W2095661645","doi":"10.5194/ms-4-357-2013","title":"On understanding of design problem formulation for compliant mechanisms through topology optimization","year":2013,"lang":"en","type":"article","venue":"Mechanical sciences","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; East China University of Science and Technology","keywords":"Topology optimization; Compliant mechanism; Computer science; Point (geometry); Topology (electrical circuits); Path (computing); Function (biology); Mathematical optimization; Engineering; Mathematics; Finite element method; Structural engineering; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002730967,0.0001095144,0.000155872,0.00008391111,0.0001338941,0.00002626199,0.0001693519,0.000100223,0.0001760504],"category_scores_gemma":[0.00005044589,0.00009643178,0.0000350414,0.0002572284,0.00005227749,0.0002723637,0.00001799406,0.0000561879,0.000005987636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009351318,"about_ca_system_score_gemma":0.0000118352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313011,"about_ca_topic_score_gemma":0.00000175513,"domain_scores_codex":[0.9991543,0.00002273896,0.000254715,0.0001799344,0.0001419423,0.0002463228],"domain_scores_gemma":[0.9994993,0.0002853019,0.00005120523,0.00009134413,0.00003735973,0.00003554731],"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":[0.000001680399,0.00000526488,4.103788e-7,0.000009787879,0.000004050622,3.116794e-8,0.00003514138,0.5506778,0.001542824,0.4476002,0.00006101042,0.0000618031],"study_design_scores_gemma":[0.0001346102,0.0001763014,0.000001345158,0.00001454994,0.00000440063,0.000001178477,0.00008235622,0.6952834,0.007910406,0.2963096,0.000004813685,0.00007703876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002854039,0.00001162744,0.9973663,0.0001986007,0.0003369722,0.0005737171,0.000002076944,0.0001746099,0.001050691],"genre_scores_gemma":[0.5301395,0.000005075917,0.469747,0.00002543203,0.000009371823,0.00005561551,0.000002184538,0.000009165711,0.000006650241],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5298541,"threshold_uncertainty_score":0.3932374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0702160383240106,"score_gpt":0.2705269682468352,"score_spread":0.2003109299228246,"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."}}