{"id":"W2330696752","doi":"10.2741/4002","title":"Cardiac tissue engineering: current state and perspectives","year":2011,"lang":"en","type":"article","venue":"Frontiers in bioscience","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Decellularization; Tissue engineering; Scaffold; Biomedical engineering; Stem cell; Cardiac cell; Microfabrication; Biocompatible material; Regenerative medicine; Biochemical engineering; Nanotechnology; Medicine; Materials science; Cell biology; Biology; Engineering; Pathology","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":[0.0001508712,0.0001095009,0.0002066066,0.0001987634,0.00002673001,0.000005929036,0.00006067118,0.00002225648,0.00000897678],"category_scores_gemma":[0.0000806391,0.00008558996,0.00001790008,0.0002897212,0.0001905905,0.00005760627,0.00002414312,0.0001503434,0.000003313536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005222392,"about_ca_system_score_gemma":0.00002990436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216808,"about_ca_topic_score_gemma":3.707201e-7,"domain_scores_codex":[0.9992783,0.00001066074,0.0001078734,0.0002505132,0.0001394626,0.0002132117],"domain_scores_gemma":[0.9996846,0.000006242453,0.00001768433,0.0001303729,0.0000271161,0.0001340183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000125287,0.0005543074,0.404866,0.0005231223,0.000103639,0.0002415243,0.06698006,0.0001658348,0.1445567,0.003324872,0.01526794,0.3632908],"study_design_scores_gemma":[0.0009616257,0.0005854703,0.8904747,0.0003456999,0.00004089002,0.00003825307,0.0016815,0.004861703,0.03633659,0.00009261066,0.06416424,0.0004166843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7753775,0.1290409,0.08920532,0.0004167915,0.004882629,0.0004396352,0.000008788411,0.00009895866,0.0005295578],"genre_scores_gemma":[0.9627786,0.001523976,0.03375229,0.000006952008,0.0001074176,0.0000118274,0.00000105609,0.00001181796,0.001806032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4856088,"threshold_uncertainty_score":0.3490258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376948212385253,"score_gpt":0.2467392010912308,"score_spread":0.2229697189673783,"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."}}