{"id":"W2202694752","doi":"10.1016/j.cjca.2015.07.168","title":"SURGICAL APPLICATION OF A NOVEL BIOMATERIAL ENHANCES POST-MI FUNCTIONAL RECOVERY BY STIMULATING VASCULOGENESIS THROUGH AN ACTIVE BIO-INDUCTIVE MECHANISM","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Biomaterial; Medicine; Vascularity; Myocardial infarction; Extracellular matrix; Ejection fraction; Arteriogenesis; Cardiology; Ligation; Surgery; Biomedical engineering; Internal medicine; Ischemia; Heart failure; Biochemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002040324,0.000403405,0.0002195951,0.0002814555,0.0001576798,0.0002485105,0.0001842627,0.0003918802,0.001321592],"category_scores_gemma":[0.0001513454,0.0001338363,0.0003405261,0.0001337693,0.0002816767,0.000287952,0.0002367282,0.0004439057,0.0001935388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009401331,"about_ca_system_score_gemma":0.0002171668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107578,"about_ca_topic_score_gemma":0.0002424748,"domain_scores_codex":[0.9999219,0.0000095586,0.000006377824,0.0000159534,0.00002590657,0.00002024776],"domain_scores_gemma":[0.9999214,0.00002251067,0.00002083747,0.000007185022,0.000009286261,0.00001867863],"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":[0.0001174211,0.00005854213,0.00007156068,0.00006845281,0.000005001272,0.00004940751,0.0000111994,0.00006364295,0.9969358,0.0001077641,0.00003699273,0.00247418],"study_design_scores_gemma":[0.00004274195,0.0007601021,0.002045847,0.0000107464,0.00004277877,0.000274757,0.00003307913,0.0008024795,0.9928433,0.000112976,0.003020104,0.00001116594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739296,0.003448416,0.01916296,0.0002591529,0.0003840298,0.00009686025,0.0001359706,0.000173757,0.002409054],"genre_scores_gemma":[0.9891698,0.001014641,0.008125378,0.0001230677,0.00006019027,0.00007540119,0.00007530819,0.00001612073,0.001340115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321592,"threshold_uncertainty_score":0.004421115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337747478089022,"score_gpt":0.2709437933290893,"score_spread":0.2371690455201871,"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."}}