{"id":"W2903452493","doi":"10.1101/484394","title":"Characterizing smoking-induced transcriptional heterogeneity in the human bronchial epithelium at single-cell resolution","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; National Institutes of Health; Roy Castle Lung Cancer Foundation; U.S. Department of Defense; University College London Hospitals NHS Foundation Trust; Rosetrees Trust; School of Medicine, New York University; National Institute for Health and Care Research; UCL Hospitals Charitable Foundation; School of Medicine, Boston University; York University; Wellcome Trust; LUNGevity Foundation","keywords":"Epithelium; Biology; Respiratory epithelium; Cell; Lung; Cell type; Pathology; Hyperplasia; Goblet cell; Bronchus; Cell biology; Medicine; Respiratory disease; Genetics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001904384,0.00007878813,0.0002227699,0.0003047995,0.0001832301,0.0003330098,0.0001044813,0.0002447298,0.0006666121],"category_scores_gemma":[0.0002023825,0.0001344813,0.0001626354,0.0002528423,0.0001706816,0.00008709692,0.0001869932,0.0001958701,0.0002330481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005326,"about_ca_system_score_gemma":0.00008573388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006773708,"about_ca_topic_score_gemma":0.001264507,"domain_scores_codex":[0.9998879,0.00001221054,0.000006561637,0.0000418702,0.00003214939,0.00001925511],"domain_scores_gemma":[0.9998916,0.00003666361,0.00001643161,0.00001731589,0.00002482725,0.00001313292],"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":[0.00002527937,0.000004118652,0.003837764,0.00001164884,0.000006094966,0.0000195962,0.00004667167,0.00005264042,0.9948708,0.0000227662,0.00002081507,0.001081859],"study_design_scores_gemma":[0.000009244439,0.0001415171,0.5234441,0.00001158781,0.00004759907,0.0005748291,0.0004005017,0.005551304,0.4669998,0.0003182076,0.00248535,0.00001591516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993407,0.0004889463,0.004751858,0.00004165599,0.000007240244,0.00001415574,0.0007063677,0.0000424154,0.000540379],"genre_scores_gemma":[0.9923637,0.0003168243,0.004801865,0.00006439856,0.00001278962,0.00003786511,0.001533147,0.000028274,0.0008411244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006773708,"threshold_uncertainty_score":0.002230048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07037848111961491,"score_gpt":0.3090963338426986,"score_spread":0.2387178527230837,"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."}}