{"id":"W4406799862","doi":"10.18280/mmep.120127","title":"Improvement of the Upper Arm of KUKA KR 16 Welding Robot via Topology Optimization","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Topology (electrical circuits); Robotic arm; Welding; Topology optimization; Robot; Computer science; Engineering; Mechanical engineering; Structural engineering; Artificial intelligence; Finite element method; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001294458,0.0001325478,0.0002231247,0.00008671462,0.0000348534,0.00001408661,0.000106506,0.0000865273,0.0000204619],"category_scores_gemma":[0.00001641255,0.0001026249,0.00004736827,0.0001342842,0.00002671764,0.00004769229,0.00004420563,0.0001128845,2.907462e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002519402,"about_ca_system_score_gemma":0.000006012484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007909757,"about_ca_topic_score_gemma":2.59757e-7,"domain_scores_codex":[0.9992712,0.000004209829,0.0003566467,0.000117078,0.00009261478,0.0001582251],"domain_scores_gemma":[0.9996798,0.00005221134,0.00004422044,0.0001620464,0.00003475559,0.00002696359],"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":[0.000001619821,0.00002393832,0.00001025281,0.002003036,0.00003105743,3.383492e-8,0.000174054,0.9917757,0.0007340203,0.00463426,0.000003297126,0.0006087156],"study_design_scores_gemma":[0.0001293828,0.00001897292,0.000004393066,0.0003730478,0.00002906019,9.196365e-7,0.0000122393,0.9709711,0.02308524,0.005259095,0.00002650789,0.00009003856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01922317,0.0002708608,0.9793188,0.00005212831,0.0001354082,0.0001736859,0.000001240741,0.0000844239,0.0007403085],"genre_scores_gemma":[0.9514183,0.0001151764,0.04832522,0.000006617796,0.00001076425,0.00002140951,0.00000174195,0.00001962668,0.00008117259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9321951,"threshold_uncertainty_score":0.4184923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008190560424207323,"score_gpt":0.1897346018195525,"score_spread":0.1815440413953452,"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."}}