{"id":"W4307341701","doi":"10.15252/emmm.202216283","title":"A high‐resolution 3D atlas of the spectrum of tuberculous and COVID‐19 lung lesions","year":2022,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Object Research Systems (Canada)","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute of General Medical Sciences; Center for AIDS Research, University of Alabama at Birmingham; South African Medical Research Council; National Research Foundation; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; CRDF Global; Cystic Fibrosis Foundation","keywords":"Lung; Coronavirus disease 2019 (COVID-19); Pathology; Lesion; Context (archaeology); Pathological; Medicine; Biology; Infectious disease (medical specialty); 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":[0.0005880689,0.0001670194,0.0004904002,0.0002219002,0.0001830043,0.000002302263,0.0001841157,0.00005634469,0.0005739225],"category_scores_gemma":[0.001215541,0.0001224951,0.0001064083,0.0006516622,0.0004115221,0.00001807469,0.0003055209,0.0003304897,0.000001012857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267161,"about_ca_system_score_gemma":0.000389822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090853,"about_ca_topic_score_gemma":0.00003522172,"domain_scores_codex":[0.9979784,0.0002340548,0.0004322731,0.0003184133,0.0008049425,0.0002319551],"domain_scores_gemma":[0.9986128,0.0002618155,0.0002182674,0.0006384981,0.00006467912,0.0002039663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001008972,0.001558292,0.02134182,0.002673099,0.0008896985,0.001154078,0.008701483,0.01469912,0.7919473,0.01734673,0.1351791,0.003500267],"study_design_scores_gemma":[0.0475059,0.0114098,0.2996199,0.004449702,0.009086351,0.003963437,0.005053637,0.04082851,0.1584105,0.008984584,0.4088468,0.001840964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8112707,0.004937439,0.002277442,0.1799056,0.0003643968,0.0008172009,0.00002946463,0.00005198245,0.0003457732],"genre_scores_gemma":[0.9838557,0.0001050615,0.0002613919,0.0154225,0.00008707513,0.00003678809,0.00002968389,0.00002995507,0.0001718785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6335368,"threshold_uncertainty_score":0.6284049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147786192438851,"score_gpt":0.2923630444510771,"score_spread":0.277584425207192,"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."}}