{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006063172,0.0002050585,0.0002206916,0.0002053863,0.0001625475,0.0004669742,0.0003812,0.0002388587,0.0009070266],"category_scores_gemma":[0.0002673191,0.0001099263,0.000184171,0.0002556157,0.0002502066,0.0002100857,0.0002995221,0.0003805729,0.0003404978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382764,"about_ca_system_score_gemma":0.0002364289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007576845,"about_ca_topic_score_gemma":0.0007859045,"domain_scores_codex":[0.9998345,0.00003101971,0.00002053035,0.0000278547,0.00005082667,0.00003527277],"domain_scores_gemma":[0.9998481,0.00002330024,0.00003579662,0.00003765836,0.00003408917,0.00002100381],"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":[0.0002597181,0.00005151084,0.0004162671,0.00005239322,0.000004126079,0.00008670774,0.00007689444,0.00009253145,0.9943976,0.000170407,0.00005973966,0.004332091],"study_design_scores_gemma":[0.00002452333,0.0006927503,0.0026897,0.00001102747,0.00002255632,0.0003635031,0.00003238626,0.0007082883,0.9927726,0.00004273682,0.002636289,0.00000348793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872001,0.002766033,0.008501009,0.00004732348,0.00001756955,0.0001121933,0.0001606849,0.00007283156,0.001122248],"genre_scores_gemma":[0.9851318,0.001071677,0.01026725,0.00003705312,0.0000161453,0.0001336781,0.0007777741,0.00003082585,0.002533847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009070266,"threshold_uncertainty_score":0.003206551,"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."}}