{"id":"W3091914328","doi":"10.1159/000511232","title":"Digitalisation and COVID-19: The Perfect Storm","year":2020,"lang":"en","type":"article","venue":"Biomedicine Hub","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics; Institute of Population and Public Health","funders":"","keywords":"Destiny (ISS module); Battle; Pandemic; History; Coronavirus disease 2019 (COVID-19); Storm; Engineering; Operations research; Aeronautics; Political science; Management; Geography; Infectious disease (medical specialty); Meteorology; Archaeology; Medicine; Disease","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":[0.0002946953,0.0001493715,0.0002477103,0.00009315756,0.0001346815,0.00003180837,0.00009735801,0.00006297596,0.0002066443],"category_scores_gemma":[0.002346508,0.00009267124,0.00005167243,0.0004136172,0.000318162,0.0000709805,0.00006995188,0.0001491984,0.00005124191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357409,"about_ca_system_score_gemma":0.0002853564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002401035,"about_ca_topic_score_gemma":0.00001409883,"domain_scores_codex":[0.9988875,0.00004243392,0.0002141355,0.0003118408,0.000355125,0.0001889986],"domain_scores_gemma":[0.9986274,0.0004308805,0.00007007852,0.0002623232,0.00005066215,0.0005586072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003439605,0.0001575603,0.03715736,0.0008305733,0.0001363048,0.000232784,0.009238963,0.00001157191,0.0108127,0.0004057901,0.9154757,0.02519668],"study_design_scores_gemma":[0.002198915,0.0007791065,0.02849215,0.00007545279,0.0001656226,0.00007381,0.0006764833,0.001063207,0.0003630253,0.00005830011,0.9659261,0.0001278372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1615282,0.001302128,0.001183079,0.8345503,0.0001816473,0.0005683101,0.00001446956,0.0002236653,0.0004482173],"genre_scores_gemma":[0.7620546,0.0001113953,0.00005347983,0.2368462,0.0007248408,0.00001814681,0.00004134023,0.00001879202,0.0001311514],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6005265,"threshold_uncertainty_score":0.3779023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06977966438867457,"score_gpt":0.340403947265737,"score_spread":0.2706242828770624,"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."}}