{"id":"W4387352646","doi":"10.1016/j.bioactmat.2023.09.017","title":"Decellularized extracellular matrix biomaterials for regenerative therapies: Advances, challenges and clinical prospects","year":2023,"lang":"en","type":"review","venue":"Bioactive Materials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Sudbury Community Foundation; National Institutes of Health; National Science Foundation","keywords":"Decellularization; Regenerative medicine; Tissue engineering; Extracellular matrix; Regeneration (biology); Scaffold; Biomedical engineering; Biocompatible material; Nanotechnology; Materials science; Cell biology; Stem cell; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009774626,0.0007936331,0.001036079,0.001863418,0.0002408311,0.001205151,0.0006034876,0.0011247,0.001657367],"category_scores_gemma":[0.0006784028,0.0002443551,0.0003527445,0.002158957,0.0005678897,0.001672148,0.0007120228,0.001507553,0.001123556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344902,"about_ca_system_score_gemma":0.001105841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004597012,"about_ca_topic_score_gemma":0.0008312113,"domain_scores_codex":[0.9997659,0.00004427878,0.00003477888,0.00003645561,0.00009626755,0.00002220991],"domain_scores_gemma":[0.9995783,0.0002289031,0.00005259506,0.00001340297,0.00008966913,0.00003711587],"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":[0.00004706651,0.00008982814,0.0001341614,0.01470507,0.00004905778,0.0001644893,0.00009568961,0.0004086058,0.005252908,0.006644054,0.01234177,0.9600673],"study_design_scores_gemma":[0.00001303817,0.0001541828,0.0006366025,0.003398931,0.00007064243,0.001064689,0.0001075255,0.0001531939,0.001512223,0.003248435,0.9896181,0.00002251413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000122604,0.9989699,0.000161559,0.0001827724,0.0001421825,0.000002445769,0.00000502113,0.000005150356,0.0004082618],"genre_scores_gemma":[0.0005693311,0.9986034,0.0002549565,0.00013177,0.0001355751,0.000004652511,0.000009298215,0.000001453116,0.0002896211],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001863418,"threshold_uncertainty_score":0.005544424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1577505294047692,"score_gpt":0.4335268735870367,"score_spread":0.2757763441822675,"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."}}