{"id":"W4412621057","doi":"10.1016/bs.host.2025.04.003","title":"Active learning of computer experiment with both quantitative and qualitative inputs","year":2025,"lang":"en","type":"book-chapter","venue":"Handbook of statistics","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.004281403,0.0008614689,0.001092722,0.001086154,0.0003067694,0.003053298,0.001980213,0.001122688,0.007700415],"category_scores_gemma":[0.01831757,0.0007205695,0.0005867279,0.001350044,0.003193589,0.004859806,0.001623588,0.00179741,0.001265043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008619567,"about_ca_system_score_gemma":0.0008444067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020002,"about_ca_topic_score_gemma":0.0008497528,"domain_scores_codex":[0.9977967,0.001287731,0.00008472284,0.0003565264,0.0004245934,0.0000497283],"domain_scores_gemma":[0.98129,0.01653928,0.0003716553,0.001335032,0.0003360432,0.000127876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000118033,0.0001701204,0.001625148,0.0009242559,0.0001396862,0.00005980522,0.0006035392,0.09413449,0.003587388,0.5055508,0.005556012,0.3875308],"study_design_scores_gemma":[0.00002152439,0.00005578266,0.0004442992,0.000111776,0.0000231994,0.00007114911,0.00007924021,0.3618632,0.002878075,0.6252107,0.009218692,0.00002233705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002645389,0.000971101,0.9856806,0.00024046,0.00004296356,0.00005194497,0.00006502572,0.0003156353,0.009986974],"genre_scores_gemma":[0.2322354,0.002246041,0.7500719,0.0002667902,0.0002248404,0.0007372412,0.0002817654,0.0003102803,0.01362576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007700415,"threshold_uncertainty_score":0.02576047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638103891847334,"score_gpt":0.3044409708634153,"score_spread":0.278059931944942,"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."}}