{"id":"W32748787","doi":"10.7554/elife.59153","title":"Мезенхимальные стромальные клетки в коррекции неврологического дефицита и морфологических изменений в модели очаговых повреждений головного мозга, индуцированных нарушением венозного кровотока","year":2012,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Janssen Pharmaceuticals; National Institute of Diabetes and Digestive and Kidney Diseases; Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research","keywords":"Medicine; Mesenchymal stem cell; Superior sagittal sinus; Pathology; Transplantation; Cerebral blood flow; Angiogenesis; Cerebral circulation; Necrosis; Anesthesia; Surgery; Thrombosis; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002084025,0.0004739629,0.0004856743,0.002654923,0.001254443,0.004293927,0.0006776488,0.0009003605,0.02259299],"category_scores_gemma":[0.004127807,0.0007743528,0.0006122817,0.002199203,0.001707707,0.001981635,0.001755277,0.001456667,0.006072596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180553,"about_ca_system_score_gemma":0.002643305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003655947,"about_ca_topic_score_gemma":0.005753129,"domain_scores_codex":[0.9977233,0.0005129526,0.0001217723,0.0005494363,0.0008905747,0.0002019315],"domain_scores_gemma":[0.9975657,0.0007379029,0.0004077606,0.0004412582,0.0006798516,0.000167458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005138836,0.0001970236,0.0161463,0.00129963,0.0001560608,0.001070927,0.003290344,0.003001459,0.1426485,0.1977501,0.01278075,0.621145],"study_design_scores_gemma":[0.000134478,0.0004417225,0.03657114,0.0006282926,0.0002547326,0.002752191,0.00270199,0.004939923,0.1048321,0.1059696,0.7404065,0.0003672998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2485227,0.05429175,0.3147423,0.006394746,0.002037478,0.0006228023,0.006478275,0.001533389,0.3653765],"genre_scores_gemma":[0.7644805,0.02199769,0.1555013,0.000556609,0.0004948662,0.0008596013,0.001854714,0.000531624,0.05372322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02259299,"threshold_uncertainty_score":0.07558107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108330400577701,"score_gpt":0.2773578192220069,"score_spread":0.2362745152162299,"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."}}