{"id":"W4407386725","doi":"10.1016/j.isci.2025.111999","title":"Divergent responses to SARS-CoV-2 infection in bronchial epithelium with pre-existing respiratory diseases","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University; Université Laval; McGill University Health Centre; Centre hospitalier universitaire de Québec","funders":"Sorbonne Université; Fondation Air Liquide","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Respiratory system; Respiratory epithelium; Medicine; Sars virus; Immunology; Betacoronavirus; Epithelium; Virology; Biology; Pathology; Infectious disease (medical specialty); Disease; Internal medicine; Outbreak","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":[0.0005347757,0.0001676847,0.0002638972,0.0002935287,0.0002686334,0.0004492242,0.0001412337,0.0004020663,0.001867957],"category_scores_gemma":[0.0003508489,0.0001317286,0.0002374939,0.0001705481,0.0003312098,0.0002870595,0.0003876159,0.0004607133,0.0004449416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738762,"about_ca_system_score_gemma":0.0001984618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004333832,"about_ca_topic_score_gemma":0.0004925792,"domain_scores_codex":[0.9996572,0.0000986793,0.00002949822,0.00007946872,0.00006582988,0.00006930809],"domain_scores_gemma":[0.9997585,0.00004017268,0.00004372397,0.00002710425,0.00004650381,0.00008398577],"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":[0.002092225,0.0002463157,0.1146681,0.00011337,0.00003788045,0.0006819537,0.0003423536,0.00005516464,0.8774321,0.00009604418,0.0001381927,0.004096273],"study_design_scores_gemma":[0.00003839077,0.002300665,0.9135404,0.00002177415,0.00004187477,0.002573626,0.001086873,0.0003934433,0.07827411,0.0001109348,0.001605944,0.00001191705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986975,0.0004752465,0.0001607331,0.00003676399,0.000009833448,0.00002099029,0.00008280115,0.000004756945,0.0005112569],"genre_scores_gemma":[0.9986505,0.0002273116,0.000251375,0.00008928959,0.00001226069,0.00002283117,0.0003201437,0.000002904721,0.0004232806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001867957,"threshold_uncertainty_score":0.006248891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08513535296606112,"score_gpt":0.4633910020970071,"score_spread":0.378255649130946,"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."}}