{"id":"W2810436264","doi":"","title":"Numerical Simulation and Customized DACM Based Design Optimization","year":2018,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Utdannings- og forskningsdepartementet; Simon Fraser University; Universitetet i Stavanger","keywords":"Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036056,0.0007483755,0.0009808326,0.0009717831,0.0005821422,0.001901172,0.00118364,0.0009235251,0.01025134],"category_scores_gemma":[0.001763326,0.0005417272,0.001081074,0.000941743,0.000808025,0.0006615023,0.001457138,0.001072861,0.002241408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530468,"about_ca_system_score_gemma":0.001972568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106175,"about_ca_topic_score_gemma":0.003046951,"domain_scores_codex":[0.9992804,0.0001702989,0.00002915894,0.00008770358,0.0003606214,0.00007184363],"domain_scores_gemma":[0.9994488,0.0001815417,0.00004962846,0.0001432592,0.0001536706,0.00002299216],"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":[0.00004455728,0.00004459206,0.0004616991,0.0001616527,0.00002453341,0.00005003899,0.00005262196,0.8930435,0.004246635,0.05220072,0.002365558,0.04730386],"study_design_scores_gemma":[0.000009604577,0.00001972139,0.00008780152,0.00001757669,0.000004572368,0.00002169794,0.00001035421,0.9836476,0.001211403,0.005495593,0.009466622,0.000007403518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0113417,0.0004343656,0.9327393,0.0003116044,0.0001298921,0.0001527005,0.0002255958,0.001194859,0.05347002],"genre_scores_gemma":[0.3379143,0.000794104,0.6312114,0.0002761695,0.0000635986,0.0007346608,0.0008175951,0.0005221958,0.02766591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01025134,"threshold_uncertainty_score":0.03429419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117662830994548,"score_gpt":0.28176804979243,"score_spread":0.2505914214824845,"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."}}