{"id":"W2313700874","doi":"10.2514/6.2013-1467","title":"Two-Level Domain Decomposition Method for Uncertainty Quantification","year":2013,"lang":"en","type":"article","venue":"54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Computer science; Decomposition; Domain (mathematical analysis); Domain decomposition methods; Mathematics; Physics; Chemistry; Finite element method","routes":{"ca_aff":true,"ca_fund":true,"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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001949589,0.0008554184,0.001280346,0.0004082201,0.0007159029,0.001760415,0.001352838,0.0004633072,0.001156076],"category_scores_gemma":[0.001259672,0.0006400922,0.0002217223,0.0003903525,0.0004642039,0.000800096,0.0002866567,0.0003215373,0.0000521053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298589,"about_ca_system_score_gemma":0.0002327235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378746,"about_ca_topic_score_gemma":0.0005482177,"domain_scores_codex":[0.993907,0.0005965261,0.001786792,0.001662384,0.001028,0.001019316],"domain_scores_gemma":[0.9950413,0.001244263,0.00085806,0.001211294,0.001192494,0.0004526093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003930282,0.00002563168,0.0001672805,0.0002459367,0.0001516624,0.000006449322,0.0007839029,0.004163486,0.1089641,0.7949925,0.001411315,0.08869468],"study_design_scores_gemma":[0.001856638,0.0002001828,0.04486062,0.0000820645,0.0001066424,0.0001382874,0.0006197402,0.1672042,0.005668065,0.777734,0.0003702184,0.001159325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4142874,0.0001182313,0.5785492,0.0006428117,0.002771165,0.001668837,0.001582631,0.0001916412,0.0001881396],"genre_scores_gemma":[0.7932442,0.00003615318,0.2048836,0.0001888738,0.0003447695,0.0001699674,0.0006520484,0.00005689609,0.0004234217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3789569,"threshold_uncertainty_score":0.999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06990014270604977,"score_gpt":0.3629099515374286,"score_spread":0.2930098088313788,"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."}}