{"id":"W4318667756","doi":"10.1089/ten.tec.2022.0189","title":"Implanted Tissue-Engineered Vascular Graft Cell Isolation with Single-Cell RNA Sequencing Analysis","year":2023,"lang":"en","type":"article","venue":"Tissue Engineering Part C Methods","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Alberta Water Research Institute; Ohio State University; Additional Ventures; Nationwide Children's Hospital; American Heart Association","keywords":"Cell; Cell type; Extracellular matrix; Cell culture; Cell biology; Fibroblast; Biology; Progenitor cell; Scaffold; Chemistry; Molecular biology; Computational biology; Stem cell; Biochemistry; Biomedical engineering; Genetics","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":[0.0008756417,0.0005862452,0.0006483504,0.001056049,0.0005863986,0.0007949058,0.0005881136,0.0004895325,0.002670124],"category_scores_gemma":[0.0006640991,0.0003768165,0.0005409095,0.0006525276,0.0004797193,0.0002184657,0.0005048136,0.001072968,0.003042106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758808,"about_ca_system_score_gemma":0.0006115314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218751,"about_ca_topic_score_gemma":0.002482627,"domain_scores_codex":[0.999339,0.00004470164,0.00006175648,0.0002069636,0.0002776532,0.00006985157],"domain_scores_gemma":[0.9994689,0.0001096059,0.00006984073,0.0001075692,0.0001983541,0.00004583028],"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":[0.00007517561,0.00004232361,0.0006559588,0.00008126035,0.00001325202,0.00007793646,0.00006898818,0.0005497625,0.9880114,0.0004766385,0.0003864786,0.0095609],"study_design_scores_gemma":[0.00003032302,0.0003142794,0.007257198,0.00003970187,0.00004812993,0.0002092434,0.00007066281,0.01825541,0.956398,0.0007570811,0.01658364,0.00003630118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2121388,0.0010532,0.7510263,0.0001817257,0.0003687909,0.002460965,0.01782037,0.004741219,0.01020869],"genre_scores_gemma":[0.2967937,0.001481794,0.665392,0.0004465547,0.0001118521,0.005576411,0.0197654,0.001285715,0.009146561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002670124,"threshold_uncertainty_score":0.008932531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293183216042631,"score_gpt":0.2728168551011912,"score_spread":0.249885022940765,"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."}}