{"id":"W1982712605","doi":"10.1016/j.laa.2008.04.039","title":"Robustness of optimal designs for correlated random variables","year":2008,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Acadia University","funders":"","keywords":"Mathematics; Robustness (evolution); Random variable; Statistics; Combinatorics; Applied mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001038105,0.0001335596,0.0003365502,0.0001311858,0.0002958309,0.0000313935,0.0003703695,0.0001051946,0.0001570402],"category_scores_gemma":[0.0006928473,0.0001056551,0.00009418026,0.0006220402,0.0001586756,0.0001860663,0.00007080536,0.00007911832,0.0000250821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009442108,"about_ca_system_score_gemma":0.00006912059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003876154,"about_ca_topic_score_gemma":2.589258e-7,"domain_scores_codex":[0.9983817,0.0001181198,0.0005727411,0.0003937893,0.0003489433,0.0001846688],"domain_scores_gemma":[0.9967684,0.002182052,0.0002066165,0.0003486066,0.0003763163,0.0001180086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002310378,0.001955478,0.001223318,0.0001154034,0.0003458233,0.000005371789,0.003564757,0.1782232,0.3877157,0.3639119,0.01707603,0.0435526],"study_design_scores_gemma":[0.003331806,0.0002755174,0.0004294773,0.00001537101,0.00006836355,0.00005954944,0.0004274555,0.8858986,0.08598213,0.006433366,0.01670103,0.0003772824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07029743,0.000658414,0.9270003,0.0001008365,0.00007039239,0.001018493,0.00005371201,0.00003766184,0.0007627611],"genre_scores_gemma":[0.4532842,0.000112219,0.5436442,0.00006276344,0.0001248116,0.000525416,0.00002364757,0.00002431605,0.002198431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7076755,"threshold_uncertainty_score":0.4308489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558443985839019,"score_gpt":0.4022329950733973,"score_spread":0.2463885964894953,"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."}}