{"id":"W4407506113","doi":"10.1007/978-3-031-80775-6_6","title":"Towards the Automation of the Product Definition Process for Design-to-Order Manufacturing Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Automation; Computer science; Manufacturing engineering; Product (mathematics); Order (exchange); Process (computing); Process automation system; Process engineering; Engineering; Mathematics; Business; Mechanical engineering; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006027143,0.0001293423,0.0001354653,0.0003215728,0.0003234423,0.0001788751,0.0009848034,0.00005767679,0.000001590754],"category_scores_gemma":[0.00005202741,0.00008988039,0.00002358369,0.0002240228,0.0001643431,0.0009830075,0.000244827,0.0001566375,0.000001853929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007678253,"about_ca_system_score_gemma":0.0001236269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004034538,"about_ca_topic_score_gemma":0.000002058633,"domain_scores_codex":[0.9991167,0.00001368126,0.0004398503,0.000103843,0.0002184658,0.0001074543],"domain_scores_gemma":[0.9986367,0.0001067002,0.0001598544,0.0007414234,0.000334962,0.00002041564],"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":[0.000003042791,0.000004153207,0.000002674342,0.0005487247,0.000008145213,4.489078e-9,0.001515035,0.870176,0.000001743916,0.041745,0.0001999572,0.08579551],"study_design_scores_gemma":[0.0001127168,0.000012673,0.0003793683,0.0004981366,0.00001330957,0.000001977005,0.00002778535,0.9848395,0.000838551,0.002283819,0.0108519,0.0001402491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007902762,0.0002356444,0.9551165,0.0004170724,0.0003934243,0.001498042,0.00002287931,0.00006763037,0.0421698],"genre_scores_gemma":[0.7882122,0.002309309,0.2061118,0.000568192,0.000111611,0.0009315256,0.0001577429,0.00003933977,0.001558177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7881332,"threshold_uncertainty_score":0.3665216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224939196629803,"score_gpt":0.26863116464394,"score_spread":0.216381772677642,"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."}}