{"id":"W2130163205","doi":"10.1002/mabi.201000202","title":"Bioactive Scaffolds for Engineering Vascularized Cardiac Tissues","year":2010,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; Heart and Stroke Foundation of Canada; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomaterial; Tissue engineering; Context (archaeology); Cardiac function curve; Cardiac muscle; Biomedical engineering; Function (biology); Myocyte; Chemistry; Medicine; Cardiology; Cell biology; Anatomy; Heart failure; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003212905,0.0001954743,0.0003159167,0.0001479779,0.0001027329,0.0000302995,0.0001427151,0.0001080332,0.00002469103],"category_scores_gemma":[0.0002554638,0.0001566999,0.0001694158,0.0003741974,0.0001648507,0.00004751981,0.00003756253,0.0001551503,0.00001402635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000258079,"about_ca_system_score_gemma":0.00006516695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001936699,"about_ca_topic_score_gemma":9.254646e-7,"domain_scores_codex":[0.9987715,0.00001147562,0.0001569046,0.0003958025,0.0002960765,0.000368166],"domain_scores_gemma":[0.9992148,0.00003825721,0.00003264455,0.000370095,0.0001159761,0.0002282885],"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":[0.00001102778,0.00003403159,0.0001621483,0.00004890878,0.00004502461,0.00002791805,0.0001025514,0.00002653424,0.9959772,0.001330738,0.0001527104,0.002081208],"study_design_scores_gemma":[0.0009241645,0.0002889203,0.001979758,0.00006610107,0.0001029805,0.00008275979,0.00003014839,0.00692958,0.8840377,0.00001471232,0.1052874,0.0002558228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715039,0.00212162,0.1218764,0.001052967,0.002283094,0.0007617573,0.00002534608,0.0002296191,0.0001452185],"genre_scores_gemma":[0.9545055,0.00001895927,0.04343263,0.00005152883,0.0004062086,0.00006674805,0.00002442351,0.00003600993,0.001458014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1119395,"threshold_uncertainty_score":0.6390038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005988409535418732,"score_gpt":0.2543524029635289,"score_spread":0.2483639934281102,"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."}}