{"id":"W4408512362","doi":"10.2139/ssrn.5182808","title":"A Computationally Efficient Multi-Model Method for Uncertain Dynamical Systems","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"","keywords":"Computer science; Dynamical systems theory; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113547,0.001040603,0.001564401,0.0007008744,0.0006267086,0.001019955,0.001569128,0.001599111,0.007161358],"category_scores_gemma":[0.002695468,0.0007533377,0.001180632,0.0006278998,0.0006299095,0.001374234,0.002172146,0.002172518,0.001527967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594372,"about_ca_system_score_gemma":0.001233361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003949862,"about_ca_topic_score_gemma":0.003802021,"domain_scores_codex":[0.9996185,0.0001424267,0.00001918731,0.0000647634,0.000121608,0.00003336368],"domain_scores_gemma":[0.9989328,0.0006900682,0.00007189129,0.00009951653,0.0001451979,0.0000605495],"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":[0.0001067912,0.00004937203,0.00015006,0.0001504949,0.00005969637,0.00008785515,0.00003540169,0.8937274,0.002211503,0.02954813,0.001479585,0.07239376],"study_design_scores_gemma":[0.000005427801,0.000008280719,0.00000984604,0.000003160934,0.000002825841,0.000006916709,0.000001679414,0.9949216,0.0001211014,0.004573405,0.0003430888,0.000002650544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008747994,0.00005765329,0.9982091,0.00004820909,0.00002256442,0.00001561811,0.0000236054,0.0001159741,0.0006325936],"genre_scores_gemma":[0.2395575,0.0002289014,0.7531772,0.0001956764,0.0001344993,0.0003826764,0.0002345089,0.0003414119,0.005747527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007161358,"threshold_uncertainty_score":0.02395707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08065798207053318,"score_gpt":0.3997232200391618,"score_spread":0.3190652379686286,"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."}}