{"id":"W2038172553","doi":"10.1038/nprot.2008.40","title":"Cardiac tissue engineering using perfusion bioreactor systems","year":2008,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":272,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Tissue engineering; Bioreactor; Biomedical engineering; Cell culture; Perfusion; Scaffold; Materials science; Biochemical engineering; Chemistry; Cell biology; Biology; Medicine; Cardiology; Engineering","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":[0.0007319257,0.0003979835,0.0002968906,0.00027125,0.0003257838,0.0007232519,0.0004931965,0.0005861282,0.001163907],"category_scores_gemma":[0.0003652234,0.0002493031,0.0003327245,0.0001941395,0.0002067814,0.0007913237,0.0003784519,0.0006254039,0.0004604979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383155,"about_ca_system_score_gemma":0.0003872765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004654195,"about_ca_topic_score_gemma":0.0005204568,"domain_scores_codex":[0.9997421,0.00005115579,0.00002297453,0.00006881539,0.00007726092,0.00003776059],"domain_scores_gemma":[0.9998325,0.00005773587,0.00003502145,0.00001847357,0.00003869289,0.00001753104],"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":[0.000064404,0.00002642522,0.0001364455,0.00009587688,0.000006018398,0.00005676185,0.00002764756,0.0002029158,0.9869111,0.0006878132,0.0002511669,0.01153349],"study_design_scores_gemma":[0.00004739428,0.0004113243,0.0007698906,0.00003101483,0.00004016217,0.000371137,0.00002270838,0.004991563,0.9806277,0.0005881776,0.01207937,0.0000195152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.5857059,0.0253127,0.3713402,0.001531368,0.001067624,0.0004471239,0.0005344879,0.001218156,0.01284255],"genre_scores_gemma":[0.8692269,0.01127321,0.1101638,0.0006294775,0.0002560468,0.0004412826,0.0006620809,0.0001053723,0.007241833],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.001163907,"threshold_uncertainty_score":0.003893614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730336249502219,"score_gpt":0.3234197392152813,"score_spread":0.2961163767202591,"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."}}