{"id":"W964710139","doi":"10.1007/1-84628-210-1_39","title":"Predicting Design Quality through Sensitivity Modeling","year":2006,"lang":"en","type":"book-chapter","venue":"Springer series in advanced manufacturing","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Quality (philosophy); Sensitivity (control systems); Product (mathematics); Context (archaeology); Computer science; Probabilistic design; Product design; Reliability engineering; Domain (mathematical analysis); Engineering; Engineering design process; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001095479,0.0007251787,0.0009376669,0.0001742522,0.0002333058,0.0001901811,0.0006968151,0.0003398033,0.00001150453],"category_scores_gemma":[0.00009957103,0.0007540763,0.0002249432,0.00007347928,0.0001048468,0.001555103,0.0009611303,0.001099596,0.00001536753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014631,"about_ca_system_score_gemma":0.00006634038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875803,"about_ca_topic_score_gemma":0.0000477799,"domain_scores_codex":[0.9961799,0.0001802117,0.0009309606,0.001366112,0.0005722038,0.0007706484],"domain_scores_gemma":[0.9977525,0.0004531159,0.0004408472,0.001175891,0.00006778001,0.0001097909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007851651,0.00004987082,0.00002980848,0.0003152197,0.00006953048,0.0004983036,0.0004799748,0.6369123,0.0008235562,0.08832682,0.00001238091,0.2724037],"study_design_scores_gemma":[0.0009731467,0.0001863938,0.0002520543,0.001437126,0.00003649866,0.00009077443,0.00005410929,0.2088238,0.06567281,0.7001204,0.0190978,0.003255027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006697433,0.0003906878,0.9384628,0.0001240973,0.001000339,0.0004242549,0.000008314451,0.00050581,0.05841397],"genre_scores_gemma":[0.01508503,0.0002262711,0.9675523,0.0001220727,0.000335766,0.00002860621,0.000005231838,0.0001086847,0.01653604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6117936,"threshold_uncertainty_score":0.999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04668122705234959,"score_gpt":0.2925921926027523,"score_spread":0.2459109655504027,"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."}}