{"id":"W4411222365","doi":"10.1101/2025.06.10.658504","title":"Alveolar epithelial cell plasticity and injury memory in human pulmonary fibrosis","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; McMaster University; McGill University Health Centre; St. Joseph’s Healthcare Hamilton","funders":"Deutsches Zentrum für Lungenforschung; KU Leuven; U.S. Department of Defense","keywords":"Pulmonary fibrosis; Regeneration (biology); Pathology; Idiopathic pulmonary fibrosis; Fibrosis; Progenitor cell; Biology; Cell type; Lung; Epigenetics; Epithelium; Stem cell; Medicine; Cell; Cell biology; Internal medicine","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":[0.0002601455,0.0001136367,0.000165025,0.0002706492,0.0002139483,0.0003012048,0.00009576832,0.0002893859,0.00234301],"category_scores_gemma":[0.0001922713,0.00008211094,0.0001115211,0.0002229839,0.0002163771,0.0001736746,0.0002807509,0.0003923343,0.0006321637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642963,"about_ca_system_score_gemma":0.0001274799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005970437,"about_ca_topic_score_gemma":0.0004712568,"domain_scores_codex":[0.9998984,0.00002184502,0.000006062373,0.00002118593,0.00003328091,0.00001922499],"domain_scores_gemma":[0.9999119,0.00001827638,0.00001775771,0.00002422335,0.00001393841,0.00001390807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00025513,0.00003733452,0.003742398,0.00004890952,0.000004982333,0.0001928552,0.0001269509,0.0001776641,0.9875391,0.00048899,0.0003249173,0.007060932],"study_design_scores_gemma":[0.00002556435,0.0004833807,0.08770096,0.00002743031,0.00001769828,0.00248683,0.000402013,0.003135563,0.8914229,0.001358054,0.01292415,0.00001533223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797307,0.003849994,0.01094906,0.0003718242,0.00005169808,0.00004211823,0.00104435,0.0002209892,0.003739207],"genre_scores_gemma":[0.9933951,0.0008255295,0.002109008,0.00006673716,0.00001171461,0.00002838702,0.0007479198,0.00001642954,0.002799116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234301,"threshold_uncertainty_score":0.00783813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007746448981426218,"score_gpt":0.2280374529544427,"score_spread":0.2202910039730165,"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."}}