{"id":"W2316638017","doi":"10.1097/00005382-200307000-00010","title":"Severe Acute Respiratory Syndrome (SARS): Imaging Findings During the Acute and Recovery Phases of Disease","year":2003,"lang":"en","type":"article","venue":"Journal of Thoracic Imaging","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pneumonia; Disease; Intensive care medicine; Respiratory system; Severe acute respiratory syndrome; Computed tomography; Viral pneumonia; Radiography; Respiratory disease; Coronavirus disease 2019 (COVID-19); Radiology; Pediatrics; Pathology; Internal medicine; Lung; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001151973,0.0002487132,0.0005404067,0.0004810778,0.0002268051,0.0001023888,0.0002046625,0.00003225915,0.00005157231],"category_scores_gemma":[0.0008147389,0.0001855865,0.000281059,0.0003581143,0.0001953683,0.0007049383,0.00009316831,0.0005161351,0.000002730765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476404,"about_ca_system_score_gemma":0.0003960121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006053566,"about_ca_topic_score_gemma":3.000966e-7,"domain_scores_codex":[0.997923,0.0001705488,0.0007251501,0.000257706,0.0005603281,0.0003632758],"domain_scores_gemma":[0.9980975,0.0003706283,0.000605895,0.0003850216,0.0002771419,0.0002637994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004661114,0.0008507181,0.6525304,0.0021714,0.002369163,0.02578292,0.001757589,0.0002699941,0.2587255,0.00003651642,0.01808276,0.03276189],"study_design_scores_gemma":[0.01298928,0.001155028,0.5339347,0.02216822,0.01632983,0.08993617,0.002081301,0.001171461,0.2664201,0.002087266,0.04940103,0.002325628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842616,0.00407016,0.0002662487,0.01073197,0.0003492693,0.0002032947,0.00002104979,0.00002504893,0.00007138494],"genre_scores_gemma":[0.9926474,0.000393931,0.001090927,0.005516349,0.000114278,0.000003607214,0.000001020178,0.0000502463,0.0001822028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1185958,"threshold_uncertainty_score":0.7567999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598257231899959,"score_gpt":0.3382076988585089,"score_spread":0.3222251265395094,"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."}}