{"id":"W3043649968","doi":"10.1183/13993003.01123-2020","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":"article","venue":"European Respiratory Journal","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; University of Waterloo","funders":"Canadian Institutes of Health Research; Canada Research Chairs; McMaster University","keywords":"Medicine; Receptor; Lung; Gene expression profiling; Airway; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gene expression; Profiling (computer programming); Molecular biology; Pathology; Gene; Virology; Coronavirus disease 2019 (COVID-19); Internal medicine; Biology; Genetics; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002121706,0.0002477161,0.0003656087,0.00045115,0.0002117745,0.0003974756,0.0001412628,0.0003403804,0.00122446],"category_scores_gemma":[0.0002435585,0.0001572074,0.000458905,0.0004677128,0.0001717832,0.000113612,0.0002184109,0.0002855773,0.0005211505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001523952,"about_ca_system_score_gemma":0.0001830794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327525,"about_ca_topic_score_gemma":0.002466636,"domain_scores_codex":[0.9996847,0.00003063269,0.00001736462,0.0001406644,0.00007564756,0.00005092618],"domain_scores_gemma":[0.9998959,0.00002616271,0.00002470934,0.00001231689,0.00002496666,0.00001600239],"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":[0.0002604786,0.00001739863,0.01048555,0.0001574915,0.00005219084,0.0001077697,0.0000939246,0.0001658202,0.9855323,0.00003909114,0.0002641655,0.002823865],"study_design_scores_gemma":[0.00002642131,0.0005176504,0.5234291,0.00004371086,0.0002265543,0.002139459,0.0004590586,0.004439435,0.4600146,0.0002015912,0.008461588,0.00004082254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784339,0.001935415,0.004491223,0.0001630417,0.00002318664,0.00002975455,0.01346983,0.0001034152,0.00135019],"genre_scores_gemma":[0.9571593,0.001702318,0.01072108,0.0003909,0.00003010514,0.0001358191,0.02717814,0.00007241309,0.002609927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001327525,"threshold_uncertainty_score":0.00409621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986377761372037,"score_gpt":0.3207804362732108,"score_spread":0.2809166586594904,"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."}}