{"id":"W4316253463","doi":"10.1002/9781119210801.ch10","title":"Design for Metal Additive Manufacturing","year":2021,"lang":"en","type":"other","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Topology optimization; Workflow; Minification; Configuration design; Fusion; Computer science; Reduction (mathematics); Engineering design process; Topology (electrical circuits); Process (computing); Mechanical engineering; Distributed computing; Mathematical optimization; Engineering; Systems engineering; Structural engineering; Finite element method; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008054597,0.001113903,0.0004967956,0.0009606837,0.0009526696,0.002141032,0.001277438,0.001318439,0.02863899],"category_scores_gemma":[0.001166032,0.0004844472,0.0008207185,0.0008372148,0.0009498897,0.001526887,0.001399702,0.001071198,0.01082416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270975,"about_ca_system_score_gemma":0.0009520049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009350062,"about_ca_topic_score_gemma":0.001525307,"domain_scores_codex":[0.9989083,0.0001825771,0.00005368418,0.000126761,0.0006738885,0.00005477074],"domain_scores_gemma":[0.9996709,0.00006255313,0.00003124087,0.0000856652,0.000134324,0.00001540607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004517516,0.00004487908,0.0002049863,0.0007032591,0.00002533292,0.0001493344,0.000238302,0.02737907,0.01253426,0.6624184,0.0288069,0.2674501],"study_design_scores_gemma":[0.00001287803,0.0000577567,0.0001276751,0.0001715433,0.00001393714,0.0002671899,0.00006309184,0.0201,0.00592963,0.06852382,0.9047098,0.00002272465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002547671,0.005837442,0.655804,0.001324573,0.0009567882,0.0002418058,0.0003146112,0.001760934,0.3312122],"genre_scores_gemma":[0.08376217,0.0101705,0.6360191,0.001040649,0.0002861084,0.0007036561,0.0007486591,0.0009171687,0.266352],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02863899,"threshold_uncertainty_score":0.09580696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668987530573009,"score_gpt":0.2324704471190365,"score_spread":0.2057805718133064,"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."}}