{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005062968,0.0003911044,0.0002252814,0.002740337,0.0002790164,0.0005032797,0.0002457931,0.0004160469,0.001616769],"category_scores_gemma":[0.001625692,0.0002560425,0.0002694871,0.0008799264,0.0005193229,0.0004999986,0.0005089762,0.0002400059,0.0002008291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244829,"about_ca_system_score_gemma":0.0003050978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243944,"about_ca_topic_score_gemma":0.001601431,"domain_scores_codex":[0.9995752,0.00009457317,0.00008830864,0.00007144158,0.00009197914,0.00007855615],"domain_scores_gemma":[0.9994817,0.0001726058,0.0001159832,0.00003873432,0.00009155538,0.00009953058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0004457482,0.00008331434,0.9374658,0.00009220166,0.00002903363,0.02014564,0.0003610608,0.0001782461,0.0211712,0.0001452234,0.0002384829,0.01964404],"study_design_scores_gemma":[0.0000308518,0.0004249851,0.8937702,0.0000509694,0.00006298697,0.09189684,0.001095201,0.002651054,0.007913928,0.0002121029,0.001867226,0.00002369701],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957017,0.0004908045,0.001825683,0.00006089422,0.00001083924,0.00006985242,0.0001479046,0.00002623723,0.001666174],"genre_scores_gemma":[0.9959288,0.0003016412,0.003266991,0.00002576345,0.00001829829,0.00003000758,0.0001781561,0.000004822879,0.0002455702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740337,"threshold_uncertainty_score":0.005408645,"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."}}