{"id":"W6948100812","doi":"10.3969/j.issn.1673-5765.2025.07.007","title":"基于临床特征、SPECT/CT脑灌注显像参数和颈动脉超声斑块特征的多因素模型对无症状性颈动脉狭窄患者认知功能下降的风险评估(Risk Assessment of Cognitive Decline in Asymptomatic Carotid Artery Stenosis Patients: A Multifactor Model Based on Clinical Features, SPECT/CT Cerebral Perfusion Imaging Parameters, and Carotid Ultrasound Plaque Characteristics)","year":2025,"lang":"zh","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asymptomatic; Cognitive decline; Stenosis; Cerebral blood flow; Logistic regression; Transcranial Doppler; Montreal Cognitive Assessment; Perfusion scanning; Internal carotid artery","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":[0.002642845,0.0008764836,0.0007187085,0.002108588,0.0005950417,0.002865535,0.001197748,0.001343019,0.003295264],"category_scores_gemma":[0.008166076,0.0006147531,0.002256062,0.001086229,0.001203729,0.00204668,0.0008078434,0.001315761,0.0006514398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598649,"about_ca_system_score_gemma":0.002530491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743891,"about_ca_topic_score_gemma":0.01587204,"domain_scores_codex":[0.999062,0.0003590623,0.00006590209,0.0002469092,0.0001357262,0.0001304243],"domain_scores_gemma":[0.9968706,0.001584189,0.0005000363,0.000169768,0.000590449,0.0002849572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006131213,0.0003932949,0.9063841,0.0002448184,0.002322301,0.000840946,0.001297218,0.01594765,0.001467018,0.01568211,0.002645641,0.05216181],"study_design_scores_gemma":[0.0002052065,0.0006669508,0.7968799,0.0002709816,0.002569215,0.001635521,0.001029622,0.1386318,0.0006910548,0.0530947,0.004176049,0.0001490054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395652,0.008083614,0.02659391,0.009305709,0.0002632689,0.0003006241,0.00123381,0.0001903956,0.01446343],"genre_scores_gemma":[0.9917842,0.001284752,0.003186296,0.0002456181,0.0001378664,0.00008272121,0.0003154451,0.00001454443,0.002948513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02743891,"threshold_uncertainty_score":0.0545584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09337312784639062,"score_gpt":0.4963980646100336,"score_spread":0.4030249367636429,"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."}}