{"id":"W2159861445","doi":"10.1002/cjce.20670","title":"Cardiac decellularisation with long‐term storage and repopulation with canine peripheral blood progenitor cells","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Stem Cell Network","keywords":"Biomedical engineering; Perfusion; Tissue engineering; Extracellular matrix; Lumen (anatomy); Cell biology; Biology; Materials science; Chemistry; Cardiology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329515,0.000130431,0.0002282095,0.00008621763,0.00004110098,0.00001491529,0.00005011487,0.00005411105,0.00001641391],"category_scores_gemma":[0.00002257041,0.00007449699,0.00003128635,0.0001121623,0.00007084956,0.00005053319,0.000003376654,0.000290863,2.173491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023473,"about_ca_system_score_gemma":0.0002059237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006090417,"about_ca_topic_score_gemma":0.0001292933,"domain_scores_codex":[0.9993815,0.000009305587,0.0001794658,0.00008663163,0.000163101,0.0001799252],"domain_scores_gemma":[0.9992841,0.0000120225,0.0000745253,0.0001135578,0.0001110315,0.000404725],"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":[0.0002339088,0.0000411322,0.07021195,0.0002538864,0.0009433141,0.001519598,0.0051943,0.007369273,0.913044,0.0001801341,0.00005766106,0.0009508599],"study_design_scores_gemma":[0.00315601,0.001407269,0.07800117,0.00100353,0.001556087,0.005963601,0.00009670822,0.003520738,0.9045402,0.000003404104,0.000296971,0.0004543143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948733,0.00238268,0.002300935,0.0001288248,0.0001471832,0.0001363296,0.000001554524,0.00001255283,0.00001658498],"genre_scores_gemma":[0.9965563,0.000003879766,0.002855932,0.000007631179,0.0004159817,0.000003153408,0.000004219406,0.00002828958,0.0001246321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008503779,"threshold_uncertainty_score":0.3037899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043425023072659,"score_gpt":0.1823035727714119,"score_spread":0.1718693225406853,"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."}}