{"id":"W4312862806","doi":"10.1287/mnsc.2023.04308","title":"Distributionally Robust Group Testing with Correlation Information","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Correlation; Group (periodic table); Econometrics; Statistics; Computer science; Mathematics; Physics","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":[0.0005720153,0.00005583367,0.00004969498,0.0002016254,0.0006976816,0.00006120897,0.0001025949,0.000005916161,0.00003501271],"category_scores_gemma":[0.0001328893,0.00005005878,0.00001128172,0.001588133,0.00008730012,0.0004813081,0.0001418868,0.0001025614,0.00002615568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259001,"about_ca_system_score_gemma":0.00003368828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808967,"about_ca_topic_score_gemma":0.000001038973,"domain_scores_codex":[0.9989098,0.000009768901,0.0001311236,0.0001442093,0.0006486826,0.0001564101],"domain_scores_gemma":[0.9996554,0.00002662746,0.00008829856,0.0001261138,0.00007618625,0.00002740921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004605952,0.0005877695,0.4660821,0.0003597989,0.00008512843,0.0001769077,0.001050564,0.1092268,0.03292318,0.08701086,0.002205741,0.2998305],"study_design_scores_gemma":[0.002018085,0.0007562054,0.5026975,0.00009159215,0.00007912252,0.0003229241,0.001818151,0.4600832,0.001883256,0.0002882382,0.02966473,0.0002969191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7273108,0.000006311619,0.1770797,0.0003666503,0.0002904619,0.0005595095,0.000004521505,0.0002702457,0.09411176],"genre_scores_gemma":[0.989249,1.256666e-7,0.009584986,0.0009820408,0.00001523808,0.00004364827,0.00001998887,0.000002881634,0.0001020705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3508564,"threshold_uncertainty_score":0.5366073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648818274024118,"score_gpt":0.2392717290820745,"score_spread":0.2127835463418334,"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."}}