{"id":"W3197822352","doi":"10.1016/j.pharmthera.2021.107976","title":"Cell-based therapies for vascular regeneration: Past, present and future","year":2021,"lang":"en","type":"review","venue":"Pharmacology & Therapeutics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; University Health Network; Toronto General Hospital","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Regenerative medicine; Regeneration (biology); Organ transplantation; Transplantation; Neuroscience; Organ system; Biology; Cell; Medicine; Bioinformatics; Pathology; Stem cell; Cell biology; Internal medicine; Disease","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004386873,0.0004298933,0.0009484033,0.0001518991,0.0001265747,0.00006960394,0.000361771,0.0005195515,0.0002394673],"category_scores_gemma":[0.000001456948,0.0003644296,0.000344871,0.0002610978,0.0001463613,0.00003112666,0.00007690086,0.0006708115,0.00001158359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008453,"about_ca_system_score_gemma":0.0002058915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.478452e-7,"about_ca_topic_score_gemma":1.541323e-7,"domain_scores_codex":[0.9981146,0.0003148809,0.0004102144,0.0003996969,0.0002707823,0.000489857],"domain_scores_gemma":[0.9986946,0.0006571157,0.00007551062,0.0003145487,0.0001196158,0.0001386371],"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":[0.000003708872,0.00005946355,7.303822e-7,0.01027987,0.00159844,0.000009863104,0.00006484854,0.0001230411,0.0001617658,0.00001672028,0.018889,0.9687926],"study_design_scores_gemma":[0.0004740787,0.00004386519,4.551545e-7,0.0002760054,0.001647718,0.000005295433,0.00001029181,0.003664721,0.0005425252,0.0000149167,0.9930009,0.0003192326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004835505,0.9915635,0.003911599,0.001549353,0.001556084,0.001113573,0.00004206193,0.000165724,0.00009329801],"genre_scores_gemma":[0.000005267663,0.9904846,0.002078763,0.000534341,0.005767288,0.0007107274,0.0001526609,0.0001356716,0.0001306796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9741119,"threshold_uncertainty_score":0.9998808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875405149630719,"score_gpt":0.378607887674322,"score_spread":0.3098538361780148,"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."}}