{"id":"W4409866010","doi":"10.3389/fbioe.2025.1571066","title":"Urine-derived stem cells: a sustainable resource for advancing personalized medicine and dental regeneration","year":2025,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Zarqa University; Ministry of Science and ICT, South Korea; AlMaarefa University; Konkuk University; Prince Sattam bin Abdulaziz University","keywords":"Regeneration (biology); Medicine; Resource (disambiguation); Stem-cell therapy; Clinical Practice; Intensive care medicine; Engineering ethics; Computer science; Pathology; Biology; Engineering; Mesenchymal stem cell","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":[0.0005677514,0.0005706558,0.0009619757,0.002411729,0.000461921,0.001592527,0.0006235414,0.001126811,0.005157627],"category_scores_gemma":[0.0005462609,0.0002158994,0.0005317384,0.00187395,0.0005646615,0.001534404,0.001065601,0.00132512,0.002020614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491499,"about_ca_system_score_gemma":0.001513179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007632138,"about_ca_topic_score_gemma":0.001562017,"domain_scores_codex":[0.9997161,0.00003811558,0.00002725757,0.00004184768,0.0001445374,0.00003207992],"domain_scores_gemma":[0.9997403,0.0001083051,0.00003336838,0.0000107217,0.00007908564,0.00002815624],"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":[0.00004183688,0.00007607588,0.0002503462,0.0169758,0.00006251221,0.0003258951,0.0001241975,0.0003877009,0.01232846,0.01599519,0.01871641,0.9347157],"study_design_scores_gemma":[0.000004880647,0.00006091319,0.0003937755,0.001863625,0.00004890057,0.0006301958,0.00009625122,0.0001094547,0.003038775,0.002985766,0.9907501,0.00001734699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006595123,0.9923835,0.00116267,0.0007987656,0.0004240131,0.00001402653,0.00008331535,0.00003037731,0.004443668],"genre_scores_gemma":[0.003637419,0.9931996,0.0009151043,0.0003228802,0.000214874,0.00001458214,0.00009590316,0.000005436078,0.001594217],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005157627,"threshold_uncertainty_score":0.01725394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019323403592325,"score_gpt":0.2961499290181103,"score_spread":0.2759566949821871,"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."}}