{"id":"W2591729572","doi":"10.1161/atvbaha.117.309189","title":"MicroRNA-150 Modulates Ischemia-Induced Neovascularization in Atherosclerotic Conditions","year":2017,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Proto-oncogene tyrosine-protein kinase Src; Protein kinase B; Angiogenesis; Neovascularization; Cell biology; Biology; Signal transduction; Cancer research; Chemistry; Internal medicine; Endocrinology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001364655,0.0002293396,0.0002721302,0.0001810252,0.000113518,0.000203381,0.0001283066,0.0001949843,0.0007917299],"category_scores_gemma":[0.0001274885,0.0001172711,0.0002289376,0.00007432063,0.000159516,0.0001191867,0.0001238525,0.0003057276,0.0002151346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982878,"about_ca_system_score_gemma":0.0001491704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001979957,"about_ca_topic_score_gemma":0.0003044478,"domain_scores_codex":[0.9998984,0.00001890904,0.00001213456,0.00002126127,0.00002350104,0.00002569205],"domain_scores_gemma":[0.9999514,0.000005643028,0.00001637536,0.000003333749,0.000008013769,0.00001534244],"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":[0.0003003801,0.00005260748,0.0003459026,0.00005791417,0.000009602295,0.0000602732,0.0000136887,0.0000273487,0.9969438,0.0001082194,0.00007753801,0.002002825],"study_design_scores_gemma":[0.0001242564,0.001821626,0.02775273,0.00002875012,0.0001128407,0.000722118,0.00005725179,0.001841999,0.961428,0.0001529801,0.00594613,0.0000113189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915759,0.003975018,0.001813508,0.0001228747,0.00008408976,0.00004662519,0.0001619097,0.00009504802,0.002125061],"genre_scores_gemma":[0.9960615,0.001291559,0.001200533,0.0001201099,0.00002104354,0.00006258412,0.0002278748,0.00001252044,0.001002321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007917299,"threshold_uncertainty_score":0.002648592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015238453734742,"score_gpt":0.2916260228892466,"score_spread":0.2614736383518991,"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."}}