{"id":"W2284554957","doi":"10.1016/j.healun.2016.01.012","title":"Epicardial infarct repair with bioinductive extracellular matrix promotes vasculogenesis and myocardial recovery","year":2016,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Alberta; University of Calgary","funders":"","keywords":"Medicine; Myocardial infarction; Cardiology; Vasculogenesis; Ischemia; Internal medicine; Myocardial fibrosis; Fibrosis; Extracellular matrix; Contraction (grammar); Cardiac function curve; Ventricular remodeling; Heart failure; Endothelial stem cell; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004724085,0.0000888596,0.0002191432,0.00007638328,0.00006264813,0.000004679855,0.00001637574,0.00004021755,0.000006061083],"category_scores_gemma":[0.00001738323,0.00003705782,0.00005581766,0.00005733466,0.0001041208,0.00008565921,0.000002167557,0.00009904707,5.072667e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411692,"about_ca_system_score_gemma":0.00003522459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000791427,"about_ca_topic_score_gemma":0.000001331104,"domain_scores_codex":[0.9994149,0.00008656279,0.0001697092,0.0000719851,0.0001649733,0.00009192732],"domain_scores_gemma":[0.9996066,0.0001360105,0.0000556366,0.00006314483,0.00006678046,0.00007184167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003562669,0.00005187179,0.03747093,0.0003649675,0.001080744,0.00015044,0.003353068,0.00008582984,0.9457092,0.0001276254,0.0003651629,0.007677492],"study_design_scores_gemma":[0.01213236,0.006947138,0.8546661,0.002729685,0.005680523,0.02367019,0.0006004682,0.0002231583,0.08785396,0.00008623343,0.005009482,0.0004007471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702659,0.01778825,0.008754576,0.002864853,0.0001470736,0.0001540466,0.000004424068,0.0000139009,0.000007001287],"genre_scores_gemma":[0.9935532,0.00374894,0.001977777,0.00001075916,0.0003963835,0.000001510944,0.000001714726,0.00001055001,0.0002991474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8578553,"threshold_uncertainty_score":0.1511174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00702862427144323,"score_gpt":0.2372995631577325,"score_spread":0.2302709388862892,"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."}}