{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001915814,0.0002348157,0.0003559276,0.0004404887,0.0002029875,0.0003551897,0.000142095,0.0003346201,0.001402177],"category_scores_gemma":[0.000259219,0.0001456392,0.0004019479,0.0004180807,0.0001419324,0.00009349815,0.0002079918,0.0002641263,0.0006542908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577073,"about_ca_system_score_gemma":0.0001707208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178156,"about_ca_topic_score_gemma":0.002086274,"domain_scores_codex":[0.9997265,0.00002582314,0.00001501038,0.0001186007,0.00007249016,0.00004157832],"domain_scores_gemma":[0.9998854,0.00002825033,0.00002708873,0.00001348817,0.00002918035,0.00001658848],"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":[0.0002874267,0.0000176876,0.01355659,0.0001832752,0.00005240238,0.0001217835,0.00007351344,0.0002057911,0.9817187,0.00004160387,0.000438807,0.003302335],"study_design_scores_gemma":[0.00003060203,0.0005343626,0.5626187,0.00005291965,0.0002240382,0.002245305,0.0004304728,0.005906075,0.4174037,0.0002016862,0.01030735,0.00004474316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652982,0.001776116,0.0045334,0.0001676718,0.00002647291,0.00003994638,0.02648809,0.0001484526,0.001521691],"genre_scores_gemma":[0.9379932,0.001178557,0.0109843,0.0004111997,0.00002820516,0.00015441,0.04666037,0.00008609716,0.002503669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402177,"threshold_uncertainty_score":0.004690707,"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."}}