{"id":"W2605445365","doi":"10.1177/0954406217704007","title":"A modular design approach for modeling and optimization of adaptable products considering the whole product utilization spans","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Weighting; Modular design; Product (mathematics); Reliability engineering; Computer science; Fuzzy logic; Control reconfiguration; Product design; Product design specification; Tree (set theory); Industrial engineering; Systems engineering; Engineering; Mathematics; Artificial intelligence","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":[0.003281639,0.0001626834,0.0003255584,0.0002168891,0.0003443543,0.0001324436,0.0008357286,0.0000612892,9.828134e-7],"category_scores_gemma":[0.006521605,0.0001114217,0.00007854536,0.0005439709,0.000184436,0.00185055,0.0002223853,0.0001710602,7.970512e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172865,"about_ca_system_score_gemma":0.0001467467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004790985,"about_ca_topic_score_gemma":9.856269e-8,"domain_scores_codex":[0.9982499,0.000003663074,0.0006605328,0.0002513445,0.000609184,0.0002253716],"domain_scores_gemma":[0.9972255,0.00002820236,0.0009623233,0.0002051274,0.001551383,0.00002749438],"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":[0.00004935465,0.00003889977,0.000006579831,0.0003155129,0.00001997549,5.577591e-8,0.00003506067,0.8170743,0.1273888,0.05479626,0.00001457872,0.0002606162],"study_design_scores_gemma":[0.0003907603,0.00002899849,0.00001556273,0.0002700358,0.00007935795,0.000008248125,0.00006834287,0.8606111,0.1375582,0.000764384,0.00009956696,0.0001054236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04452089,0.0001153092,0.953436,0.0006972149,0.0005830757,0.000590089,0.000001289984,0.00002013551,0.00003605907],"genre_scores_gemma":[0.9005898,0.00003403452,0.09913292,0.00001342272,0.000199211,0.00001049181,7.284736e-7,0.00001367893,0.000005684969],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.856069,"threshold_uncertainty_score":0.7807441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05091778653337559,"score_gpt":0.2270767184602699,"score_spread":0.1761589319268943,"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."}}