{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002662518,0.006496364,0.005534662,0.001966307,0.003993082,0.001978761,0.006366118,0.003915678,0.008476042],"category_scores_gemma":[0.002949992,0.006261819,0.003694134,0.005472831,0.003157959,0.005070775,0.002978441,0.006148695,0.02253062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316937,"about_ca_system_score_gemma":0.0009746908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005697404,"about_ca_topic_score_gemma":0.0001441593,"domain_scores_codex":[0.9659728,0.003593376,0.005346447,0.007630514,0.005497274,0.01195954],"domain_scores_gemma":[0.9798602,0.002950016,0.003168859,0.006986734,0.0008446197,0.006189528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007610172,0.05051976,0.1291737,0.001806945,0.003858968,0.008585816,0.01640885,0.0007354548,0.1119934,0.07950134,0.3065343,0.2832713],"study_design_scores_gemma":[0.02856204,0.01037776,0.1559428,0.001803181,0.005018097,0.002505906,0.00196217,0.001564993,0.07946268,0.01676506,0.6776378,0.01839746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790895,0.02822604,0.0007690952,0.0124978,0.01768972,0.008513282,0.001823196,0.003828482,0.1475629],"genre_scores_gemma":[0.938687,0.005631891,0.001920715,0.01333678,0.004374418,0.0007692101,0.0004340229,0.001180573,0.03366536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3711035,"threshold_uncertainty_score":0.9995549,"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."}}