{"id":"W2138041394","doi":"10.3390/ijms9060978","title":"MicroRNA: an Emerging Therapeutic Target and Intervention Tool","year":2008,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"microRNA; Biology; Computational biology; Gene silencing; Regulation of gene expression; Gene expression; RNA interference; Competing endogenous RNA; Gene; Function (biology); RNA; Bioinformatics; Genetics; Long non-coding RNA","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":[0.000822845,0.0005497678,0.0008787112,0.000616289,0.000218443,0.0007725974,0.0005155663,0.0009961377,0.003778428],"category_scores_gemma":[0.0004548465,0.0002012266,0.0002848341,0.0002544413,0.0005418088,0.0007755233,0.00056284,0.001098533,0.001444015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920453,"about_ca_system_score_gemma":0.0003562311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007495443,"about_ca_topic_score_gemma":0.00009619162,"domain_scores_codex":[0.9997031,0.00009327049,0.00002182031,0.00006711969,0.00008905646,0.00002561766],"domain_scores_gemma":[0.9998496,0.00006518634,0.00002044605,0.00001046552,0.00002358278,0.00003072558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007591582,0.0004282906,0.00088674,0.00176065,0.0000770983,0.002051169,0.0001646925,0.0009157514,0.2992195,0.04595717,0.0138958,0.6338839],"study_design_scores_gemma":[0.0004867901,0.004742838,0.001950489,0.0004980233,0.0003138034,0.0142979,0.000213788,0.006619554,0.238514,0.02395887,0.7083239,0.00007999293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05775511,0.4831505,0.3536388,0.02443996,0.00507757,0.0004928415,0.000609386,0.002839279,0.07199656],"genre_scores_gemma":[0.3778017,0.3018632,0.2747685,0.01115181,0.003976826,0.001214772,0.0006448915,0.0002479145,0.02833039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003778428,"threshold_uncertainty_score":0.01264012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702211711368835,"score_gpt":0.3008934940293561,"score_spread":0.2838713769156678,"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."}}