{"id":"W4401508911","doi":"10.1109/iscv60512.2024.10620123","title":"XAI for Understanding the Success in Curbing COVID-19","year":2024,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data science; Virology; Medicine","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":[0.003582401,0.0005410422,0.0004321824,0.002386486,0.000400524,0.001830351,0.0007521503,0.0007583228,0.006070245],"category_scores_gemma":[0.0173301,0.0001544682,0.0007941952,0.002488517,0.0005981004,0.001855376,0.001173197,0.001398904,0.001102975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719033,"about_ca_system_score_gemma":0.001073488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02733374,"about_ca_topic_score_gemma":0.02143958,"domain_scores_codex":[0.9985447,0.0006246954,0.0001662495,0.0002606654,0.0002466672,0.0001570867],"domain_scores_gemma":[0.9880481,0.00782697,0.002174472,0.0008237852,0.0007952741,0.0003315449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002496305,0.0002856481,0.7180889,0.001125596,0.0003340995,0.0002850934,0.002065059,0.09205155,0.0007251322,0.04886336,0.03346593,0.1024601],"study_design_scores_gemma":[0.00006053779,0.000410781,0.3471776,0.001014914,0.000161351,0.0002586579,0.003419547,0.5298845,0.001302187,0.0463261,0.06987289,0.0001109919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6954247,0.003032937,0.1489279,0.02301941,0.0004986505,0.0008563211,0.09019268,0.001529265,0.0365182],"genre_scores_gemma":[0.9057384,0.001170588,0.05974134,0.0005920564,0.0001510441,0.0005501977,0.028463,0.0001058997,0.003487619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02733374,"threshold_uncertainty_score":0.05434924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159804634749868,"score_gpt":0.4242351918148209,"score_spread":0.264430557064953,"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."}}