{"id":"W2037926166","doi":"10.1007/s00170-014-5658-1","title":"Robust adaptable design considering changes of requirements and parameters during product operation stage","year":2014,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Functional requirement; Product (mathematics); Product design; Reliability engineering; New product development; Control engineering; Probabilistic design; Systems engineering; Functional design; Product design specification; Design of experiments; Computer science; Engineering; Engineering design process; Industrial engineering; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276449,0.0001105028,0.0001667223,0.0004334387,0.00009220256,0.00007328224,0.0003856749,0.0000346622,0.00001633613],"category_scores_gemma":[0.0002903658,0.00008433925,0.00002093492,0.00008871343,0.00007663266,0.0007068372,0.0001924989,0.0001323703,0.000002162058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004392858,"about_ca_system_score_gemma":0.00001518393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007202482,"about_ca_topic_score_gemma":0.00001279839,"domain_scores_codex":[0.9991444,0.00001122825,0.0003140047,0.0001424519,0.0002545314,0.0001334184],"domain_scores_gemma":[0.999016,0.00003390651,0.0005922657,0.0001323456,0.0002193283,0.000006149799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00107384,0.0001326857,0.004941279,0.0002653869,0.0005128921,0.00003273785,0.0003205363,0.357566,0.5111812,0.01353269,0.0002254073,0.1102154],"study_design_scores_gemma":[0.001005513,0.0000333716,0.001818849,0.0001389593,0.0000313428,0.00003414895,0.0002955261,0.001275997,0.9840428,0.008113317,0.003063095,0.000147074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851449,0.00009348002,0.009864124,0.004027858,0.0005814732,0.0001555732,3.742762e-7,0.00004085515,0.00009136361],"genre_scores_gemma":[0.9866902,0.00009717221,0.01274852,0.0001370343,0.0002347123,0.000005398853,0.000001582469,0.00001304177,0.00007233817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4728616,"threshold_uncertainty_score":0.3439254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319948478580895,"score_gpt":0.2269580370820893,"score_spread":0.1937585522962803,"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."}}