{"id":"W7067275600","doi":"","title":"Modeling and Analysis of Dynamic Computer Experiments","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nucleofection; Process (computing); TSG101; Frame (networking); Tubulopathy; Articular cartilage damage","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003056462,0.0003066203,0.0005172322,0.001258915,0.0001620051,0.00008844159,0.0007732469,0.0002190553,0.00005573041],"category_scores_gemma":[0.000006407117,0.0003668859,0.0001800434,0.001636731,0.00006387693,0.001931629,0.0003782056,0.0001826236,0.000005859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008963064,"about_ca_system_score_gemma":0.0001216584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877868,"about_ca_topic_score_gemma":0.00003015921,"domain_scores_codex":[0.9984221,0.00009295722,0.0002053172,0.0007557237,0.0002852814,0.0002386213],"domain_scores_gemma":[0.9988016,0.00004269674,0.0002765406,0.0005632495,0.0001777692,0.0001381116],"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":[0.001166147,0.001795844,0.005056452,0.0009661527,0.01706386,0.0006035908,0.056304,0.81108,0.0002079154,0.02956566,0.01343422,0.06275616],"study_design_scores_gemma":[0.0003708029,0.00007350663,0.00164714,0.0000644309,0.0002819152,1.166417e-7,0.0006516732,0.9954767,0.0004852581,0.00009859051,0.0004365851,0.0004133144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02452334,0.00003140137,0.9731108,0.0004373418,0.0002851493,0.0002225732,0.00003682259,0.0002212238,0.001131334],"genre_scores_gemma":[0.05034596,0.0003174441,0.9120926,0.00005743103,0.0000296124,0.000001168937,0.0008247484,0.00004605876,0.03628499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1843967,"threshold_uncertainty_score":0.9998783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006848855294188719,"score_gpt":0.2251226106741331,"score_spread":0.2182737553799443,"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."}}