{"id":"W4392369445","doi":"10.30978/tb2024-1-86","title":"Differential Diagnostics of the Disappearing Lung Syndrome in Lymphangioleiomyomatosis and COVID-19 Pneumonia Using Digital Software Processing of Computer Tomography Data (Clinical Cases)","year":2024,"lang":"en","type":"article","venue":"Tuberculosis Lung Diseases HIV Infection","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Lymphangioleiomyomatosis; Pneumonia; Medicine; Software; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Differential diagnosis; Tomography; Computed tomography; 2019-20 coronavirus outbreak; Computer science; Lung; Radiology; Pathology; Internal medicine; Disease; Infectious disease (medical specialty); Operating system","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":[0.000204009,0.0001920955,0.0004785124,0.0002357825,0.0001043541,0.00005602397,0.0001084067,0.0001021155,0.000009039294],"category_scores_gemma":[0.001532823,0.0001391313,0.0001869771,0.0005155829,0.0005105493,0.0002383494,0.0004002486,0.0001906905,5.854968e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000719249,"about_ca_system_score_gemma":0.0001540052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045351,"about_ca_topic_score_gemma":0.00001049569,"domain_scores_codex":[0.998389,0.0001459468,0.0005484064,0.000443633,0.0002663111,0.0002067001],"domain_scores_gemma":[0.9980301,0.001230935,0.0001228152,0.0003720164,0.00004893064,0.0001952241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003764909,0.0003194363,0.9888958,0.003545876,0.0002453437,0.0001858812,0.0002073036,0.00003986871,0.00003020409,0.000004044127,0.0002719109,0.006216709],"study_design_scores_gemma":[0.0005821842,0.00006353747,0.9186779,0.002928488,0.001522373,0.0007707449,0.00003355199,0.07520965,0.00001009173,0.00002791041,0.00003301675,0.000140608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839597,0.005720218,0.008872391,0.0002811278,0.0004331098,0.0003136048,0.0003170363,0.00009612532,0.000006660481],"genre_scores_gemma":[0.9988663,0.0005896977,0.0001266492,0.00009446778,0.0001489077,0.00001264309,0.0001354673,0.00002314768,0.000002747943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07516978,"threshold_uncertainty_score":0.5673611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411855077692938,"score_gpt":0.3562828700782526,"score_spread":0.3150973623089588,"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."}}