{"id":"W2898958129","doi":"10.1115/detc2018-85375","title":"Minimization of Cost and Print Time of Additive Manufacturing via Topology Optimization","year":2018,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Topology optimization; Minification; Computer science; Volume (thermodynamics); Industrial engineering; Productivity; Mathematical optimization; Component (thermodynamics); Field (mathematics); Topology (electrical circuits); Engineering; Mathematics","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":[0.0007369681,0.0007485239,0.0007013632,0.0005892899,0.0002564004,0.0009627953,0.0007071919,0.0007538904,0.0024718],"category_scores_gemma":[0.001632246,0.0003749321,0.000607657,0.0005976002,0.000570503,0.0009076548,0.0006565214,0.0006518196,0.000467021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006727473,"about_ca_system_score_gemma":0.0008190743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756464,"about_ca_topic_score_gemma":0.001103159,"domain_scores_codex":[0.9995864,0.0001150045,0.00001140592,0.00004088175,0.0002079069,0.00003839665],"domain_scores_gemma":[0.9995064,0.0002922382,0.0000609864,0.0000538043,0.00006859541,0.00001797404],"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":[0.00003460918,0.00002856269,0.0001931117,0.00009455539,0.0000126455,0.00003507178,0.00002229726,0.9495356,0.006002854,0.01302576,0.0003063489,0.03070852],"study_design_scores_gemma":[0.0000039542,0.00007770956,0.0001338577,0.000008190401,0.000009422223,0.00003223038,0.000009530389,0.9926143,0.00285575,0.003417067,0.000832131,0.000005838202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04872479,0.0003609026,0.9359554,0.0001637332,0.0000325856,0.00006244065,0.00004208137,0.0002479584,0.01441013],"genre_scores_gemma":[0.7351225,0.0005689398,0.256828,0.00004397619,0.00002556488,0.0001595912,0.00007177811,0.0002228115,0.006956771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0024718,"threshold_uncertainty_score":0.008269012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005554728311485082,"score_gpt":0.2009229733577685,"score_spread":0.1953682450462834,"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."}}