{"id":"W3048490071","doi":"10.3390/genes11091002","title":"Prediction and Analysis of SARS-CoV-2-Targeting MicroRNA in Human Lung Epithelium","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canada Research Chairs; Leukemia and Lymphoma Society of Canada; Leukemia and Lymphoma Society; Human Frontier Science Program","keywords":"microRNA; Coronavirus; Biology; Genome; RNA; Virology; Mechanism (biology); Gene; Genetics; Coronavirus disease 2019 (COVID-19); Disease; Medicine; Infectious disease (medical specialty); Pathology","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":[0.0000726466,0.00006609328,0.0001154796,0.0000640125,0.00002313037,0.000006345738,0.00005169715,0.00005949688,0.000004796041],"category_scores_gemma":[0.00002101771,0.00006997983,0.00005633549,0.0001869443,0.00002820795,0.00000248272,0.00004899178,0.00002212831,3.605621e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000574541,"about_ca_system_score_gemma":0.00001093474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002142378,"about_ca_topic_score_gemma":0.00002136164,"domain_scores_codex":[0.9994652,0.00003299294,0.0001750633,0.0001958998,0.00004858572,0.00008231951],"domain_scores_gemma":[0.9997769,0.000002650873,0.00007011912,0.00009571623,0.00003129536,0.00002331333],"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":[0.00001651473,0.00001020916,0.104549,0.00002881213,0.0001285782,4.925673e-7,0.00007688962,0.0002772512,0.8944151,0.000004017742,0.0002029734,0.0002901022],"study_design_scores_gemma":[0.0001633802,0.00002653068,0.1097641,0.000004306007,0.0001349569,3.183493e-7,0.00002415866,0.002879325,0.8862537,0.000005232569,0.0006850049,0.00005892411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963737,0.00256434,0.000809114,0.00007533383,0.00001605309,0.0000742636,0.00004471184,0.000005773474,0.00003667405],"genre_scores_gemma":[0.9991798,0.00008426736,0.0003103236,0.00007936172,0.00006924415,0.000003640606,0.0002610548,0.000007509712,0.000004736705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008161415,"threshold_uncertainty_score":0.2853695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916854074160955,"score_gpt":0.2674350063391185,"score_spread":0.2482664655975089,"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."}}