{"id":"W4307181475","doi":"10.22074/cellj.2022.8005","title":"An Effective Method for Decellularization of Human Foreskin: Implications for Skin Regeneration in Small Wounds.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decellularization; Foreskin; Extracellular matrix; Biomedical engineering; Tissue engineering; Regeneration (biology); Biocompatibility; Chemistry; Decorin; Matrix (chemical analysis); Cell biology; Medicine; Proteoglycan; Cell culture; Chromatography; Biology","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":[0.0004386024,0.0005169686,0.00009050209,0.0004139168,0.0001506692,0.000237747,0.0001378868,0.0003166053,0.00107435],"category_scores_gemma":[0.0002664959,0.0001220402,0.0002628168,0.0001829246,0.000205889,0.0002854545,0.0002065162,0.0002664865,0.0002532276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024016,"about_ca_system_score_gemma":0.0002968656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195879,"about_ca_topic_score_gemma":0.000649333,"domain_scores_codex":[0.9998449,0.00003099301,0.00001957245,0.00004081686,0.0000488888,0.00001480995],"domain_scores_gemma":[0.9998569,0.00002696545,0.00005374577,0.0000168421,0.00002470235,0.0000207589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000283441,0.0000120755,0.000262033,0.0000957665,0.000004992269,0.00004353651,0.000008423132,0.00003851384,0.9951383,0.00004622758,0.00002931082,0.004292403],"study_design_scores_gemma":[0.0000200199,0.0003013604,0.006087101,0.0000435835,0.00003522552,0.001045391,0.00003138067,0.0003490242,0.9788015,0.00005108483,0.01322318,0.00001098989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8357682,0.0417918,0.1165333,0.0004535232,0.0003672102,0.0004885494,0.0009122658,0.0001519319,0.00353323],"genre_scores_gemma":[0.852727,0.0133185,0.1282112,0.0001958897,0.00008082862,0.0003091316,0.0009236056,0.00004167487,0.004192138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107435,"threshold_uncertainty_score":0.003594041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248310254064576,"score_gpt":0.3116389814670812,"score_spread":0.2791558789264355,"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."}}