{"id":"W3015315684","doi":"10.1101/2020.04.07.030742","title":"Gene expression and <i>in situ</i> protein profiling of candidate SARS-CoV-2 receptors in human airway epithelial cells and lung tissue","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University Medical Centre; McMaster University; University of Waterloo","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; TMPRSS2; Respiratory epithelium; Receptor; Gene expression; Gene expression profiling; Epithelium; Lung; Cell; Gene; Respiratory tract; Immunology; Molecular biology; Virology; Respiratory system; Pathology; Medicine; Coronavirus disease 2019 (COVID-19); Genetics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008747791,0.000565292,0.001072873,0.0005993974,0.00008575335,0.00008652026,0.0003156573,0.0006070154,0.000003218745],"category_scores_gemma":[0.0002089457,0.0005703883,0.00007807276,0.0005952626,0.0002251768,0.0001295424,0.000739738,0.001278813,0.000005869681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002718353,"about_ca_system_score_gemma":0.0007019911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004802817,"about_ca_topic_score_gemma":0.00003993462,"domain_scores_codex":[0.9964439,0.0002450711,0.0008444483,0.001283552,0.0005572363,0.0006258384],"domain_scores_gemma":[0.9984701,0.00005744192,0.0003462214,0.0007787722,0.0002184731,0.0001290498],"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":[0.000384114,0.0001610399,0.02585118,0.002621478,0.00004545566,0.0002472574,0.00007368829,9.709997e-7,0.9705541,0.000018016,0.00003588861,0.000006868176],"study_design_scores_gemma":[0.002124689,0.0001660893,0.004310552,0.00189628,0.00005348206,6.030601e-8,0.000007972621,0.000131481,0.989789,0.000003348883,0.001017853,0.0004991887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951068,0.001499252,0.0001192417,0.0001340451,0.0002014007,0.002712046,0.0001088735,0.00010232,0.0000160712],"genre_scores_gemma":[0.9950048,0.00008053144,0.003392612,0.000821813,0.0002457019,0.0003234409,6.690106e-7,0.0001290716,0.000001304567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02154063,"threshold_uncertainty_score":0.9996747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262772793760918,"score_gpt":0.288796878396253,"score_spread":0.2661691504586438,"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."}}