{"id":"W7115918246","doi":"10.1063/5.0296897","title":"Tissue regenerative medicine: Clinical advances, challenges, and opportunities","year":2025,"lang":"en","type":"article","venue":"APL Bioengineering","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; University Health Network","funders":"National Heart, Lung, and Blood Institute; California Institute for Regenerative Medicine; U.S. Department of Veterans Affairs; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Regenerative medicine; Bench to bedside; Precision medicine; Tissue engineering; Translational medicine; Biomedicine","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":[0.0115487,0.000914751,0.001075592,0.001889959,0.001271937,0.006102763,0.001274044,0.004141075,0.006000643],"category_scores_gemma":[0.007125314,0.0003145096,0.0005794532,0.001403827,0.006504602,0.008156013,0.003654717,0.00602409,0.001747899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579467,"about_ca_system_score_gemma":0.004905894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005757674,"about_ca_topic_score_gemma":0.001684648,"domain_scores_codex":[0.9973395,0.001110037,0.0002893799,0.000228329,0.0008417832,0.0001909853],"domain_scores_gemma":[0.9938335,0.003518905,0.0004257195,0.000303008,0.001167275,0.0007515672],"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":[0.0002002176,0.0002230479,0.001359552,0.00391697,0.00004311322,0.0009468886,0.0005534507,0.0005785176,0.003951727,0.1032721,0.06143274,0.8235217],"study_design_scores_gemma":[0.00007880433,0.0007200301,0.001650251,0.008745071,0.00008228457,0.006634996,0.002462859,0.001227755,0.002423629,0.159492,0.816363,0.000119359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0014046,0.8782827,0.004608,0.106867,0.002613581,0.00002200525,0.00003450541,0.00008386451,0.006083763],"genre_scores_gemma":[0.02180241,0.9432323,0.007522731,0.01500393,0.009764408,0.00005939293,0.00007004855,0.00004999836,0.002494824],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0115487,"threshold_uncertainty_score":0.0610761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05648530923760712,"score_gpt":0.3454938608407054,"score_spread":0.2890085516030982,"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."}}