{"id":"W1599037914","doi":"10.1088/1748-6041/10/3/030301","title":"Biomaterials for cardiac tissue engineering","year":2015,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute","keywords":"Ventricle; Human heart; Internal medicine; Cardiology; Stimulation; Heart rate; Myocyte; Cardiac muscle; Medicine; Anatomy; Biomedical engineering; Blood pressure","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":[0.0006409739,0.000640403,0.0005015069,0.00115741,0.0004924829,0.001317488,0.0005490413,0.001363171,0.03801198],"category_scores_gemma":[0.0009408067,0.0003014214,0.0004796508,0.0006381743,0.000448635,0.001180729,0.001292717,0.001787351,0.01592796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000510911,"about_ca_system_score_gemma":0.0004378686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874548,"about_ca_topic_score_gemma":0.0004965033,"domain_scores_codex":[0.9994739,0.00006479134,0.00003993781,0.00009289698,0.0002730464,0.00005543044],"domain_scores_gemma":[0.999653,0.00008421003,0.00007883139,0.00003900595,0.00008875017,0.00005612551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001556545,0.0002933228,0.0005110232,0.006821527,0.00009951273,0.0009970254,0.0002861399,0.001827486,0.3898929,0.05753183,0.1116433,0.4299402],"study_design_scores_gemma":[0.00004649835,0.0002943561,0.0008330024,0.0008461461,0.00004400877,0.001512157,0.00007304789,0.001695352,0.07801015,0.009694422,0.9068964,0.00005453047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04480139,0.3926127,0.1563277,0.008850353,0.0181999,0.001621973,0.004126265,0.004010022,0.3694498],"genre_scores_gemma":[0.37979,0.250487,0.1153272,0.007535049,0.004895616,0.002825409,0.004309405,0.001162624,0.2336677],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03801198,"threshold_uncertainty_score":0.1271627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420268583047174,"score_gpt":0.3017831024350523,"score_spread":0.2675804166045805,"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."}}