{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516988,0.0001735855,0.0003494149,0.0002935729,0.0002092503,0.0003065732,0.0001122787,0.0003388145,0.0008919711],"category_scores_gemma":[0.00045038,0.0001785157,0.0002766924,0.0001966028,0.00009524946,0.0001067817,0.0001384163,0.0002160643,0.0007916515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360022,"about_ca_system_score_gemma":0.0001796078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005000171,"about_ca_topic_score_gemma":0.000650288,"domain_scores_codex":[0.9998939,0.00001933316,0.000009322056,0.00003803741,0.00002469116,0.00001470377],"domain_scores_gemma":[0.999881,0.00004279805,0.00002065974,0.000009014027,0.00002989068,0.00001658705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004110293,0.00004228372,0.01333534,0.0001223936,0.00002489449,0.0003819038,0.00007656971,0.0006508556,0.9762161,0.0001071481,0.0002190935,0.008412458],"study_design_scores_gemma":[0.00007239298,0.001006564,0.2397857,0.00005112604,0.0001587965,0.005050998,0.0003985892,0.04178654,0.7005472,0.0003436882,0.01075521,0.00004318901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987582,0.001822679,0.008142359,0.00006219454,0.0000207101,0.00005496857,0.001174962,0.00009200264,0.001048188],"genre_scores_gemma":[0.980581,0.0005967406,0.01440396,0.0001015135,0.000009917948,0.00007230569,0.00288839,0.00003119632,0.001314999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008919711,"threshold_uncertainty_score":0.002983987,"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."}}