{"id":"W4414930302","doi":"10.1007/s00158-025-04124-6","title":"Combined topology and build orientation optimization for support structure minimization in additive manufacturing","year":2025,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Topology optimization; Volume (thermodynamics); Aerospace; Orientation (vector space); Finite element method; Automotive industry; Minification; Topology (electrical circuits)","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":[0.0005709159,0.0009373785,0.001336609,0.0009353225,0.0004009301,0.0008459283,0.0008553455,0.001405464,0.002258501],"category_scores_gemma":[0.001318726,0.0007004514,0.0008868297,0.0008526861,0.0005840654,0.001122643,0.001171422,0.0009116121,0.0004141446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920773,"about_ca_system_score_gemma":0.0007138749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115105,"about_ca_topic_score_gemma":0.001975505,"domain_scores_codex":[0.9996419,0.0001136039,0.00001025066,0.00003921102,0.0001639992,0.0000310902],"domain_scores_gemma":[0.9996367,0.0001981968,0.00003233413,0.000033572,0.00007621605,0.00002295525],"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":[0.00003282197,0.00004677924,0.0002068099,0.00004807129,0.00002841619,0.0000201037,0.00001516376,0.9697556,0.002299037,0.004837538,0.000332108,0.02237758],"study_design_scores_gemma":[0.000004123473,0.0000227446,0.00005182097,0.00000347783,0.000005378375,0.000007452772,0.000005295875,0.9974981,0.0005102128,0.001637122,0.0002520451,0.000002153716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0343319,0.0003671983,0.9591201,0.0001378853,0.00005080128,0.00003548656,0.00005601715,0.0001386298,0.005762009],"genre_scores_gemma":[0.7269304,0.0003760919,0.266209,0.0001106931,0.00007654036,0.0002128052,0.0001810908,0.0002595461,0.005643897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002258501,"threshold_uncertainty_score":0.007555485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004304387258779793,"score_gpt":0.241059563698047,"score_spread":0.2367551764392672,"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."}}