{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003038974,0.0004315737,0.0002870702,0.002642144,0.0002971468,0.001033285,0.0002546114,0.0006546358,0.002108726],"category_scores_gemma":[0.0003489466,0.0004246368,0.000370181,0.001163682,0.0003619558,0.0003904732,0.0005848335,0.0004921622,0.0006591885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184096,"about_ca_system_score_gemma":0.0006584348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885194,"about_ca_topic_score_gemma":0.00342899,"domain_scores_codex":[0.99985,0.00002139633,0.00001295069,0.00003215813,0.00005963257,0.00002379889],"domain_scores_gemma":[0.9998268,0.000038395,0.00003567849,0.00003923578,0.00003775418,0.00002213917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003789033,0.00007863146,0.03296839,0.0005659359,0.0001364275,0.002324672,0.0005889783,0.03521372,0.802215,0.008433941,0.005043526,0.1120519],"study_design_scores_gemma":[0.00005783128,0.0002357352,0.1781814,0.0002532593,0.0002617829,0.02073755,0.0007956724,0.2811489,0.4162731,0.01011533,0.09170088,0.0002386466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3674378,0.003379879,0.603401,0.0005550655,0.00006491574,0.0003037386,0.006458894,0.004521653,0.01387699],"genre_scores_gemma":[0.7112854,0.001731155,0.280643,0.0001452482,0.00003137148,0.0001938897,0.003040608,0.0003894941,0.002539876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002642144,"threshold_uncertainty_score":0.007054389,"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."}}