{"id":"W4400934327","doi":"10.3390/cells13151243","title":"Selective Enrichment of Angiomirs in Extracellular Vesicles Released from Ischemic Skeletal Muscles: Potential Role in Angiogenesis and Neovascularization","year":2024,"lang":"en","type":"article","venue":"Cells","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; Centre Hospitalier Universitaire Sainte-Justine; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Angiogenesis; Microvesicles; Cell biology; Neovascularization; Ischemia; Skeletal muscle; microRNA; Protein kinase B; PI3K/AKT/mTOR pathway; Exosome; Signal transduction; Biology; Cancer research; Medicine; Anatomy; Internal medicine; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001713556,0.0001770832,0.0001809361,0.0001493529,0.00001919728,0.00002613597,0.0001303952,0.0001823374,0.0000197664],"category_scores_gemma":[0.0000250558,0.0001967091,0.0001398655,0.0002705911,0.00008192558,0.00001224673,0.00008513093,0.00009027823,0.000006203664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003548825,"about_ca_system_score_gemma":0.00007033963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001892909,"about_ca_topic_score_gemma":0.0000388982,"domain_scores_codex":[0.9987052,0.0001019966,0.0003142173,0.0005103645,0.0001462518,0.0002219908],"domain_scores_gemma":[0.999554,0.00002239388,0.00005667229,0.0002645786,0.00002992543,0.00007240841],"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":[0.0000595014,0.0001327906,0.003150388,0.00006834889,0.00006878632,0.00005149287,0.0002101315,0.0003708877,0.9911296,0.00001654203,0.0001062107,0.004635263],"study_design_scores_gemma":[0.0006035091,0.0000564031,0.01105074,0.00007289778,0.00005460777,0.000002581752,0.0001894825,0.00227339,0.9845684,0.0002000426,0.0007188092,0.0002091417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527549,0.04518616,0.001555849,0.00001912685,0.00008378244,0.0002612999,0.00004159712,0.00001387225,0.00008339925],"genre_scores_gemma":[0.998108,0.0005821394,0.0008532145,0.00001508858,0.00008838647,0.00002353055,0.0002117383,0.00003549621,0.0000824553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04535304,"threshold_uncertainty_score":0.8021564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002902928438027452,"score_gpt":0.2006890264978057,"score_spread":0.1977860980597782,"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."}}