{"id":"W2800127782","doi":"10.22215/etd/2014-10081","title":"Efficient Hermite-based Variability Analysis Using Decoupling Technique","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Hermite polynomials; Polynomial chaos; Decoupling (probability); Computer science; Algorithm; Random variable; Electronic circuit; Stochastic process; Polynomial; Process (computing); Mathematics; Theoretical computer science; Monte Carlo method; Engineering; Control engineering; Statistics; Electrical 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009687633,0.0004145271,0.001003402,0.001372266,0.0002094205,0.0002579073,0.0009621295,0.0005754508,0.001010291],"category_scores_gemma":[0.0067137,0.0003015732,0.0006667315,0.003280198,0.00005192333,0.00003104159,0.00003894774,0.0003790337,0.00006612825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083386,"about_ca_system_score_gemma":0.0003932198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007232448,"about_ca_topic_score_gemma":0.00005475707,"domain_scores_codex":[0.9953437,0.0002861861,0.001268019,0.001152141,0.001568832,0.0003810638],"domain_scores_gemma":[0.993926,0.003094356,0.0005182824,0.001480525,0.0008052101,0.0001756501],"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":[0.00002316584,0.00006242614,0.0005209065,0.00004226667,0.000101755,0.000002175711,0.00003506493,0.9968787,0.0005758046,0.0007610393,0.00006633443,0.0009303023],"study_design_scores_gemma":[0.0000928224,0.00001664459,0.001287989,0.00004802001,0.0006210419,6.284708e-7,0.00005950167,0.9935443,0.001421081,0.002376247,0.0001356235,0.0003960438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04973523,0.0000314849,0.9432994,0.000008386998,0.0005718626,0.0005058154,0.00001077871,0.0001859071,0.005651148],"genre_scores_gemma":[0.8840173,3.762945e-7,0.1133838,0.00003116368,0.00007913373,0.00005899516,0.0001092362,0.00003646473,0.002283554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.834282,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553596029658212,"score_gpt":0.3573147476333559,"score_spread":0.3017787873367738,"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."}}