{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003513143,0.00007429635,0.00007095822,0.0001109762,0.00007027994,0.00004559114,0.0003256208,0.00003723558,0.00001885771],"category_scores_gemma":[0.00004608389,0.00006532086,0.00008653336,0.00005822138,0.000176527,0.00003321177,0.00006057636,0.0000481192,8.653025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416276,"about_ca_system_score_gemma":0.00007201241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004196665,"about_ca_topic_score_gemma":0.000001210692,"domain_scores_codex":[0.9991354,0.00006732406,0.0002398692,0.0001454656,0.0003203565,0.00009158334],"domain_scores_gemma":[0.9995034,0.000005207378,0.0002082711,0.00007239838,0.0001619126,0.00004886269],"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":[0.00004654324,0.00006289841,0.004765254,0.000002093512,0.00006999799,0.00004138099,0.00007466425,0.0004170668,0.9889516,0.0002519995,0.00006181683,0.005254652],"study_design_scores_gemma":[0.00115227,0.0007394817,0.04580097,0.00005978073,0.00002855504,0.002157977,0.00022181,0.000930356,0.9388946,0.00184215,0.007908725,0.0002633022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800159,0.002369273,0.01687212,0.0003237655,0.0002970613,0.00003679417,0.000002668881,0.000002641756,0.00007974054],"genre_scores_gemma":[0.9952891,0.0001585369,0.004172003,0.000199212,0.0001497039,8.832445e-7,0.000007136064,0.000005982357,0.00001743136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05005701,"threshold_uncertainty_score":0.2663707,"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."}}