{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003033734,0.0001269167,0.000166567,0.00007103557,0.00004088541,0.000008007039,0.0001295368,0.0001145096,0.000007179256],"category_scores_gemma":[0.000109586,0.0001147503,0.00002479612,0.00004279597,0.0001392588,0.000005088226,0.0001471205,0.0001088754,0.000002580246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001093352,"about_ca_system_score_gemma":0.00005314355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004142529,"about_ca_topic_score_gemma":0.000009428039,"domain_scores_codex":[0.999156,0.00004741138,0.0002062103,0.0002973199,0.00009282056,0.0002002414],"domain_scores_gemma":[0.9995576,0.0000359256,0.00002566791,0.000238771,0.0000526928,0.00008934877],"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":[0.00006003282,0.00004474146,0.0001989568,0.0003659709,0.0001882499,0.00004148299,0.0001421917,0.00008634993,0.2490581,0.01108282,0.005026268,0.7337048],"study_design_scores_gemma":[0.0005024105,0.0002707464,0.0005296289,0.0001000527,0.00001407439,0.00001221476,0.0001855848,0.0002556359,0.09383219,0.0001074879,0.904016,0.0001740217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1256049,0.7946352,0.02370734,0.01044422,0.001311187,0.0005905849,0.00002096904,0.0001104991,0.04357517],"genre_scores_gemma":[0.7605825,0.2279089,0.0008601567,0.0002898018,0.000458564,0.00003323088,0.00006323014,0.00002344649,0.00978009],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8989897,"threshold_uncertainty_score":0.4679381,"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."}}