{"id":"W2801133181","doi":"","title":"Возможности перфузионной шкалы ASPECTS в прогнозировании эффективности внутривенной тромболитической терапии","year":2017,"lang":"ru","type":"article","venue":"Неврология, нейропсихиатрия, психосоматика","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Penumbra; Medicine; Cerebral blood flow; Perfusion; Cerebral blood volume; Perfusion scanning; Cardiology; Nuclear medicine; Internal medicine; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007850986,0.0002994561,0.0002677931,0.00154858,0.000325384,0.001479094,0.0002517769,0.0004506731,0.003762456],"category_scores_gemma":[0.001579833,0.000318451,0.000308681,0.001151126,0.001002892,0.0007730051,0.00044603,0.0005870801,0.001350033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853056,"about_ca_system_score_gemma":0.0009753787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003217,"about_ca_topic_score_gemma":0.003426302,"domain_scores_codex":[0.9994769,0.00009210842,0.00003949749,0.00007897106,0.0002404242,0.00007207045],"domain_scores_gemma":[0.9992077,0.0001755725,0.0002442279,0.00006908989,0.0002138496,0.00008971884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007056153,0.0001797588,0.06371327,0.0009699371,0.000138726,0.004522159,0.002069684,0.001819174,0.1913679,0.03641996,0.003151826,0.694942],"study_design_scores_gemma":[0.0002722616,0.001796164,0.3305295,0.000682476,0.0006636935,0.02727854,0.003666383,0.005530869,0.1753844,0.08794275,0.3659219,0.000331111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7638957,0.04904925,0.1081902,0.002184453,0.0004407144,0.0002975062,0.0008684121,0.0003401607,0.07473364],"genre_scores_gemma":[0.9260952,0.01731502,0.04678957,0.0001082895,0.0002001705,0.0001309465,0.0003234048,0.00007505793,0.00896231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003762456,"threshold_uncertainty_score":0.01258665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753623894157651,"score_gpt":0.2844750570009246,"score_spread":0.2669388180593481,"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."}}