{"id":"W2888649825","doi":"10.15562/gnc.51","title":"MicroRNAs: Small Regulators of Tissue Regeneration","year":2017,"lang":"en","type":"article","venue":"Journal of Genes and Cells","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Regeneration (biology); Biology; Regulation of gene expression; Cell biology; Gene expression; Computational biology; Stem cell; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006126349,0.0008336485,0.0008374678,0.0007476674,0.0005308401,0.00158158,0.000606751,0.0008905432,0.00381886],"category_scores_gemma":[0.0006119994,0.0003681752,0.0003844621,0.000622221,0.0007276686,0.0008840371,0.0007691892,0.001316641,0.003721579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004653987,"about_ca_system_score_gemma":0.0004548522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452972,"about_ca_topic_score_gemma":0.0001919257,"domain_scores_codex":[0.9995146,0.0001052338,0.00004111304,0.0001289833,0.0001482704,0.00006186407],"domain_scores_gemma":[0.9997304,0.00005635326,0.00008209053,0.0000215969,0.00004967749,0.00005981321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006609797,0.0001113827,0.001028322,0.001507451,0.00008720711,0.0009403276,0.000217326,0.0004584153,0.7100608,0.02356532,0.01355866,0.2478039],"study_design_scores_gemma":[0.0001213075,0.0006821694,0.003023039,0.000186838,0.0001176683,0.003048338,0.0001235731,0.0008715042,0.3340237,0.006769483,0.6509664,0.00006597996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07812603,0.7398622,0.09760892,0.003853873,0.006471492,0.0007398602,0.003507305,0.004689351,0.06514094],"genre_scores_gemma":[0.5111713,0.3019965,0.08984184,0.003788894,0.002993123,0.001401969,0.005251383,0.0006641239,0.08289081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00381886,"threshold_uncertainty_score":0.01277542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044090388600544,"score_gpt":0.24438037973402,"score_spread":0.2339394758480146,"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."}}