{"id":"W4381185646","doi":"10.1017/pds.2023.6","title":"A CASE STUDY OF THE DECISION-MAKING BEHIND THE AUTOMATION OF A COMPOSITES-BASED DESIGN PROCESS","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Automation; Modular design; Heuristics; Process (computing); Electronic design automation; Computer science; Computer-automated design; Key (lock); Manufacturing engineering; Engineering design process; Process automation system; Systems engineering; Engineering; Software engineering; Systems design; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009328724,0.0001557878,0.0002093701,0.00004225225,0.0002508219,0.00003914057,0.0005495594,0.00007546072,0.000004583049],"category_scores_gemma":[0.0001495502,0.00008512326,0.0001497951,0.0007257,0.00007745191,0.0001341523,0.00008490444,0.0001619411,4.488511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003723054,"about_ca_system_score_gemma":0.00003499687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000985317,"about_ca_topic_score_gemma":9.300269e-7,"domain_scores_codex":[0.9988238,0.00002283555,0.0003926428,0.0001506833,0.0004471098,0.0001628988],"domain_scores_gemma":[0.9987664,0.0004259527,0.0003266729,0.0001723765,0.0002912813,0.000017303],"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":[0.00002639407,0.00008467632,0.001108026,0.0005352106,0.0000796544,5.728144e-7,0.02548264,0.9674315,0.003565544,0.000007568103,0.0007121139,0.0009660895],"study_design_scores_gemma":[0.0004044692,0.0000757846,0.001562357,0.0003042946,0.0001125015,0.00001632316,0.006908335,0.9016493,0.0883756,0.0004825382,0.000001856849,0.0001066408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274675,0.00003283727,0.07101638,0.00004051548,0.0000807941,0.001193815,0.000003547072,0.0001215669,0.00004302193],"genre_scores_gemma":[0.9919144,0.000005572753,0.007938805,0.000016745,0.00001666267,0.00007065105,2.543976e-7,0.00002806683,0.000008840355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08481006,"threshold_uncertainty_score":0.3471226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701179200015336,"score_gpt":0.259819666701502,"score_spread":0.2328078747013486,"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."}}