{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009266631,0.0002383521,0.0003790901,0.001123559,0.0002774494,0.00004204208,0.0004684003,0.0002670141,0.0003067921],"category_scores_gemma":[0.0002795737,0.0003082507,0.00008601011,0.0006186564,0.0002323603,0.0001418054,0.00007254377,0.0008745387,0.00006210945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554765,"about_ca_system_score_gemma":0.0001775582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009338159,"about_ca_topic_score_gemma":0.00003445872,"domain_scores_codex":[0.9977922,0.0002993199,0.0001542598,0.0004026133,0.0008401531,0.0005114372],"domain_scores_gemma":[0.9978464,0.001100744,0.00005401156,0.0003865303,0.0003722212,0.0002401198],"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":[0.0005809934,0.00003072208,0.000008627098,0.0005603626,0.00008466854,0.00001849645,0.0009391546,0.9897159,0.002547242,0.00005688235,0.002502416,0.002954502],"study_design_scores_gemma":[0.0009686034,0.0001298718,0.0005225695,0.0001661069,0.00002349701,5.505744e-7,0.0005325324,0.995141,0.0006247926,0.0001975223,0.001444326,0.000248616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01030701,0.0001323817,0.9820352,0.00003846485,0.0001035613,0.0008447147,0.00005533637,0.0002149571,0.006268419],"genre_scores_gemma":[0.7300423,0.0004380944,0.2659312,0.00000313413,0.0001409099,0.000010832,0.001761954,0.0001815538,0.001490009],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7197353,"threshold_uncertainty_score":0.9999369,"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."}}