{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003308032,0.0006594455,0.0003919062,0.001821229,0.008022009,0.02449469,0.0009849455,0.004327845,0.01400115],"category_scores_gemma":[0.008574433,0.0002833499,0.0004475502,0.001986593,0.02053137,0.02732575,0.01400562,0.007501921,0.002878533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00560134,"about_ca_system_score_gemma":0.005227071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005920864,"about_ca_topic_score_gemma":0.00630737,"domain_scores_codex":[0.9953916,0.001827031,0.000188707,0.0004497657,0.001180101,0.0009628697],"domain_scores_gemma":[0.9960719,0.00149753,0.0003303074,0.0004910853,0.0005318635,0.001077287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006217569,0.0000253078,0.0009394228,0.000171764,0.000008864697,0.0005146238,0.02766516,0.0001310245,0.0001753906,0.7923204,0.12443,0.05355589],"study_design_scores_gemma":[0.000008890111,0.00002968751,0.0005911069,0.000413554,0.000005042534,0.0004680798,0.01667919,0.0001178064,0.0001903019,0.06627027,0.9151953,0.00003072667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.03483309,0.05951395,0.006851456,0.2267285,0.01032232,0.0000740588,0.0002879423,0.0003845659,0.6610041],"genre_scores_gemma":[0.6875631,0.0610797,0.002867286,0.06512622,0.006575404,0.0001415788,0.0004067709,0.0005174291,0.1757225],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02449469,"threshold_uncertainty_score":0.04683846,"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."}}