{"id":"W4365442802","doi":"10.1371/journal.pone.0283589","title":"Mapping CircRNA–miRNA–mRNA regulatory axis identifies hsa_circ_0080942 and hsa_circ_0080135 as a potential theranostic agents for SARS-CoV-2 infection","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"microRNA; Biology; Computational biology; Messenger RNA; Circular RNA; Non-coding RNA; Competing endogenous RNA; Regulation of gene expression; Epigenetics; Gene; RNA; Gene expression; Gene regulatory network; Bioinformatics; Genetics; Long non-coding RNA","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002801223,0.000261911,0.0005083266,0.0007769443,0.0003052933,0.000537979,0.0001592212,0.0002872528,0.002073719],"category_scores_gemma":[0.0005562312,0.0001632032,0.0004879434,0.001107484,0.000156325,0.0002313103,0.0003268796,0.0002844141,0.0004939305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456751,"about_ca_system_score_gemma":0.0005854356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543227,"about_ca_topic_score_gemma":0.002843695,"domain_scores_codex":[0.9997316,0.00003415906,0.00002324306,0.0001101166,0.00006358395,0.00003717286],"domain_scores_gemma":[0.999783,0.00006323586,0.00007532196,0.00001465265,0.0000436884,0.00002006869],"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":[0.002702928,0.0002590275,0.3717533,0.002060335,0.0008257212,0.00155298,0.0004715528,0.01487163,0.4111738,0.003408282,0.01065823,0.1802623],"study_design_scores_gemma":[0.0001580585,0.001130368,0.7048554,0.0002732916,0.00145254,0.003394674,0.0007769563,0.07957849,0.1247853,0.006505549,0.07698172,0.000107548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457198,0.009311091,0.01118117,0.0005702424,0.00007144346,0.0001188814,0.02528776,0.0003455393,0.007393958],"genre_scores_gemma":[0.9507738,0.002990148,0.01139385,0.0004107211,0.00003710472,0.0001907187,0.03183261,0.00006453774,0.002306464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002073719,"threshold_uncertainty_score":0.006937206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364211894119214,"score_gpt":0.2717097857887608,"score_spread":0.2280676668475687,"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."}}