{"id":"W4317871165","doi":"10.2217/rme-2022-0172","title":"Quantifying the Immune Response to a Tissue-Engineered Porcine Extracellular Matrix","year":2023,"lang":"en","type":"article","venue":"Regenerative Medicine","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Decellularization; Extracellular matrix; Mesenchymal stem cell; Immune system; Cell biology; Scaffold; Tissue engineering; Stem cell; Matrix (chemical analysis); Medicine; Immunology; Biomedical engineering; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002624038,0.0005546637,0.001039407,0.0007851038,0.0003701113,0.00002222013,0.0002934593,0.000155932,0.0004415699],"category_scores_gemma":[0.002141069,0.0003130418,0.0001338561,0.002770213,0.0003227037,0.00006334347,0.0001093367,0.0006106327,0.0006414911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156342,"about_ca_system_score_gemma":0.0001313609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006226817,"about_ca_topic_score_gemma":0.000007690573,"domain_scores_codex":[0.996503,0.0003312672,0.0008033499,0.0006571125,0.0009277447,0.0007775387],"domain_scores_gemma":[0.9974046,0.0005895013,0.0001277258,0.001010929,0.0003273304,0.0005398579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000631648,0.00004478201,0.0001097692,0.0001026815,0.0001678673,0.0007083931,0.003733243,0.002490972,0.9580682,0.004021581,0.0275076,0.002413257],"study_design_scores_gemma":[0.006209204,0.004055003,0.0236299,0.001576602,0.0004387845,0.0008282952,0.003222911,0.007727072,0.3452363,0.00002605603,0.6063029,0.0007469308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272887,0.08618941,0.02700631,0.1544958,0.002014026,0.001875991,0.00001892624,0.0009117018,0.0001991206],"genre_scores_gemma":[0.8092964,0.0002799442,0.001537965,0.0001907047,0.002369636,0.0001631077,0.0001455253,0.000118518,0.1858982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6128319,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05188674693481483,"score_gpt":0.3455083136608097,"score_spread":0.2936215667259949,"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."}}