{"id":"W4310953121","doi":"10.1039/d2bm01273a","title":"Decellularized ECM hydrogels: prior use considerations, applications, and opportunities in tissue engineering and biofabrication","year":2022,"lang":"en","type":"review","venue":"Biomaterials Science","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Biofabrication; Decellularization; Self-healing hydrogels; Tissue engineering; Nanotechnology; Biomedical engineering; Chemistry; Materials science; Engineering; Polymer chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008368392,0.0002677793,0.0008741716,0.0006835679,0.0001908942,0.0001483589,0.00009164476,0.0000985875,0.00008025636],"category_scores_gemma":[0.0003251108,0.0002173407,0.0000273152,0.0004171604,0.0003434421,0.0001563634,0.0001260359,0.00007988632,0.000003874078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302499,"about_ca_system_score_gemma":0.0003807983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003066317,"about_ca_topic_score_gemma":6.353836e-7,"domain_scores_codex":[0.9984224,0.00007226865,0.0005278101,0.0004881885,0.0002575298,0.0002318412],"domain_scores_gemma":[0.9991214,0.0001959089,0.0001580799,0.0003106493,0.00003750077,0.0001764527],"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":[0.000006782724,0.00008964361,0.00001300128,0.0121327,0.00004775966,0.0001528682,0.0002884498,0.000005390862,0.2151905,0.004233387,0.00007949946,0.76776],"study_design_scores_gemma":[0.0002622438,0.00006006626,0.00002724795,0.001560425,0.000150106,0.0006817887,0.00002464523,0.0001092453,0.002775892,0.000006276823,0.9941126,0.000229524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004481151,0.993246,0.0004406673,0.0001226658,0.0002426119,0.001329063,0.00004288435,0.00008778299,0.000007195328],"genre_scores_gemma":[0.001094711,0.9928681,0.004939137,0.00001517944,0.0001157502,0.000521926,0.0001119228,0.00003114008,0.0003020801],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.994033,"threshold_uncertainty_score":0.8862895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222415311902516,"score_gpt":0.3354009479313481,"score_spread":0.2131594167410965,"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."}}