{"id":"W4415230679","doi":"10.3390/ijms262010043","title":"MicroRNAs in Tissue Regeneration: Lessons from Animal Models","year":2025,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"microRNA; Gene; Regulation of gene expression; Regenerative medicine; Gene expression; Regeneration (biology); Model organism; 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":[0.001560055,0.000977478,0.001596636,0.001983378,0.0002710809,0.001074193,0.001144142,0.001785623,0.001592166],"category_scores_gemma":[0.001229271,0.0003372146,0.0004894177,0.00140538,0.001326354,0.002061304,0.0009783957,0.003325477,0.001403434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000752844,"about_ca_system_score_gemma":0.0008628383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007081635,"about_ca_topic_score_gemma":0.001077419,"domain_scores_codex":[0.9997153,0.00007026385,0.0000457771,0.00005922585,0.00008911447,0.00002027816],"domain_scores_gemma":[0.9994738,0.0003348432,0.00003681222,0.00002145199,0.00008744508,0.00004566481],"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":[0.0001069441,0.00007438792,0.0002260466,0.01220503,0.00008681475,0.0005612627,0.0001559963,0.0004932976,0.004168203,0.02059008,0.03039479,0.9309371],"study_design_scores_gemma":[0.00001781177,0.0001051223,0.0006064755,0.003395025,0.00008037921,0.001861066,0.00007765702,0.000111211,0.000948718,0.01024491,0.9825237,0.00002787701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009857371,0.9979649,0.0004088481,0.0006156676,0.0002400369,0.000002490472,0.000008820435,0.00000980461,0.0006509077],"genre_scores_gemma":[0.0006633371,0.9979965,0.0004388207,0.0003372014,0.0002728335,0.000006306472,0.00001260585,0.000003041043,0.0002693187],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001983378,"threshold_uncertainty_score":0.008250475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376107178594235,"score_gpt":0.3701851041615848,"score_spread":0.3325743863021614,"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."}}