{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386545,0.00020994,0.0003949923,0.0002963889,0.0001132402,0.00005892032,0.0001725382,0.00006903557,0.000007089975],"category_scores_gemma":[0.0001537917,0.0001783344,0.00004680046,0.0002682409,0.0001342515,0.0001563983,0.0001733664,0.0008339033,0.0000104503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006614407,"about_ca_system_score_gemma":0.000160598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483593,"about_ca_topic_score_gemma":0.00001335709,"domain_scores_codex":[0.9975216,0.0006767788,0.0006517327,0.0003802857,0.0004095373,0.0003599983],"domain_scores_gemma":[0.9993775,0.00003308301,0.0002048863,0.0001846952,0.0000810964,0.0001187607],"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":[0.0006020161,0.000065162,0.02283342,0.0002095236,0.00001229609,0.001103056,0.0008303345,0.000001203138,0.9713632,0.000002129759,0.0002345507,0.002743124],"study_design_scores_gemma":[0.003213453,0.0005948599,0.001665928,0.0004450342,0.00001255039,0.00004338313,0.0001092272,0.00002439835,0.9782391,0.000005707353,0.01548168,0.0001646829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966159,0.001303369,0.00006565656,0.0001166806,0.00005842859,0.0005561238,0.000006421189,0.00001906154,0.001258307],"genre_scores_gemma":[0.9937544,0.00001887167,0.000506773,0.00526612,0.0003781124,0.000005618328,8.517592e-7,0.00005750099,0.00001167757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116749,"threshold_uncertainty_score":0.7272268,"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."}}