{"id":"W3042529820","doi":"10.7861/clinmed.let.20.4.8","title":"Is computed tomography really the future of biology for diagnosing COVID-19 infection?","year":2020,"lang":"en","type":"letter","venue":"Clinical Medicine","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computed tomography; Infection control; Disease control; Coronavirus Infections; Virology; Medical emergency; Intensive care medicine; Medical physics; Disease; Pathology; Infectious disease (medical specialty); Radiology","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":[0.003524867,0.0009837759,0.001162392,0.001047466,0.00196,0.002737201,0.001842248,0.0249397,0.007618682],"category_scores_gemma":[0.02850134,0.0008145223,0.001092443,0.0004972746,0.002098091,0.004341337,0.0008086844,0.03241387,0.006415896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116152,"about_ca_system_score_gemma":0.00210609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004048904,"about_ca_topic_score_gemma":0.006121272,"domain_scores_codex":[0.997254,0.001058246,0.0004389356,0.000298537,0.0007221049,0.0002282645],"domain_scores_gemma":[0.9852712,0.008550229,0.0007922903,0.0003308247,0.003503142,0.00155219],"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":[0.0000346419,0.00001939237,0.0006594048,0.00005913553,0.0000109564,0.001156991,0.00004359607,0.00003681858,0.0000949661,0.0007051876,0.9904303,0.006748513],"study_design_scores_gemma":[0.0001697499,0.0001230297,0.003017947,0.001681223,0.00008278117,0.01333201,0.0007199949,0.001321167,0.0004280612,0.008016651,0.9709645,0.0001429111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000244735,0.001727334,0.0001204,0.9621272,0.03405395,0.00001064406,0.00005163813,0.00003567493,0.001628465],"genre_scores_gemma":[0.003366317,0.002617914,0.0004072655,0.8418731,0.1478594,0.00002125241,0.00004223404,0.00002910528,0.003783449],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0249397,"threshold_uncertainty_score":0.02548707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081766555713588,"score_gpt":0.45234315138174,"score_spread":0.3441664958103812,"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."}}