{"id":"W4288788242","doi":"10.1016/b978-0-323-95062-6.00003-6","title":"Digital product design and engineering analysis techniques","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Iterative design; Product design; Engineering design process; Product engineering; Computer-automated design; Parametric design; CAD; Systems engineering; Computer science; Computer-aided engineering; Product (mathematics); New product development; Generative Design; Information flow; Computer Aided Design; Multidisciplinary design optimization; Design technology; Engineering; Engineering drawing; Parametric statistics; Software engineering; Mechanical engineering","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":[0.000361088,0.001351048,0.0007955225,0.00207509,0.0004333876,0.002392131,0.0009861337,0.000644183,0.05227681],"category_scores_gemma":[0.0008693434,0.0007722501,0.0008530075,0.002351191,0.0005852255,0.00145252,0.0008398811,0.001080441,0.0208805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006825149,"about_ca_system_score_gemma":0.0005789491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199416,"about_ca_topic_score_gemma":0.001790939,"domain_scores_codex":[0.9995469,0.00005330448,0.00002323744,0.00006231045,0.0002942183,0.00001998121],"domain_scores_gemma":[0.9996662,0.0001404369,0.00001487391,0.00008720672,0.00008307574,0.000008189028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002280301,0.00003806056,0.0001695002,0.0004753013,0.00003122181,0.00006605271,0.00006735767,0.01791328,0.005581809,0.08517645,0.03754365,0.8529145],"study_design_scores_gemma":[0.0000162899,0.00006683706,0.0007511626,0.0003687727,0.00006799988,0.0006350129,0.00007941238,0.09628776,0.01004511,0.1485547,0.7430872,0.00003983532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00167809,0.00745814,0.8231534,0.0003071934,0.0004793063,0.00006008807,0.0003672404,0.002012178,0.1644844],"genre_scores_gemma":[0.03574733,0.01960233,0.509116,0.0003338184,0.0003665456,0.0002378906,0.001421646,0.001054835,0.4321196],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05227681,"threshold_uncertainty_score":0.1748833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008219948246981528,"score_gpt":0.184937882538746,"score_spread":0.1767179342917645,"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."}}