{"id":"W3104568502","doi":"10.22215/etd/2006-08239","title":"Uncertainty simulation using domain decomposition and stratified sampling","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Sampling (signal processing); Domain (mathematical analysis); Computer science; Stratified sampling; Humanities; Mathematics; Statistics; Telecommunications; Art; Mathematical analysis","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":[0.001051823,0.000249137,0.0003536532,0.0003074984,0.0002260134,0.0003772532,0.0002028216,0.0003045175,0.000109754],"category_scores_gemma":[0.0004179149,0.0001943796,0.0000824462,0.0003307458,0.0000289344,0.0001863283,0.00001675206,0.0001787346,0.00001348694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008611801,"about_ca_system_score_gemma":0.00009957146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467182,"about_ca_topic_score_gemma":0.0002084744,"domain_scores_codex":[0.9976925,0.00008850504,0.0007192804,0.0005461171,0.0007486075,0.0002050002],"domain_scores_gemma":[0.9978984,0.001165163,0.0002801216,0.0002938297,0.0002890112,0.00007348067],"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":[0.00003521168,0.00001469409,0.00003656265,0.00002228953,0.000009591765,0.000001658907,0.0001335074,0.9905141,0.001952466,0.002703996,0.000112774,0.004463162],"study_design_scores_gemma":[0.0002302121,0.00002725614,0.002889924,0.00009280562,0.00004161278,0.000003363262,0.0006118704,0.9118578,0.0001148735,0.08336677,0.000408329,0.0003551462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3749646,0.0001238512,0.6208008,0.000009254496,0.00044901,0.0002451967,0.00001169543,0.00006492213,0.003330722],"genre_scores_gemma":[0.9396563,0.000002619816,0.05704257,0.00001542799,0.0001547096,0.000006044441,0.0003339577,0.00002531798,0.002763075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5646917,"threshold_uncertainty_score":0.792657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195816809656601,"score_gpt":0.4167064234304934,"score_spread":0.2971247424648332,"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."}}