{"id":"W2066139166","doi":"10.3174/ajnr.a4291","title":"Arterial Spin-Labeling Parameters Influence Signal Variability and Estimated Regional Relative Cerebral Blood Flow in Normal Aging and Mild Cognitive Impairment: FAIR versus PICORE Techniques","year":2015,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Lausanne; Fondation Leenaards; European Commission; University College London; National Institute for Health and Care Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Cerebral blood flow; Medicine; Arterial spin labeling; Cognitive impairment; Cardiology; Internal medicine; Magnetic resonance imaging; Blood flow; Cognition; Montreal Cognitive Assessment; Nuclear medicine; Anesthesia; Radiology; Psychiatry","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":[0.001747611,0.0003226837,0.0002115125,0.0005441792,0.0001464493,0.000359897,0.0002089723,0.0002990576,0.0003959709],"category_scores_gemma":[0.003962934,0.0001260255,0.0001254224,0.0001953306,0.0003510217,0.0002955606,0.0002060005,0.0001870254,0.00005206574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546315,"about_ca_system_score_gemma":0.0001635707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013221,"about_ca_topic_score_gemma":0.002942298,"domain_scores_codex":[0.9996895,0.0001152559,0.00002265312,0.00007991833,0.00006083434,0.0000319348],"domain_scores_gemma":[0.9986153,0.0007739735,0.0002656713,0.0001421947,0.0001213977,0.00008144957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01391196,0.0003915319,0.7500764,0.0002508714,0.0005983075,0.0004919197,0.001092697,0.002022316,0.1242317,0.0003983592,0.0002120619,0.1063219],"study_design_scores_gemma":[0.00006024279,0.001080193,0.9796845,0.0000160232,0.0002683878,0.0007604806,0.0001640346,0.003711534,0.01353361,0.0004157115,0.0002810825,0.00002421168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970917,0.0003175756,0.002367754,0.000005922867,0.000004041865,0.000009144848,0.00002112072,0.00001196309,0.0001707825],"genre_scores_gemma":[0.9984414,0.00005609487,0.001382018,0.00000784774,0.00000589632,0.00000763676,0.00002744813,0.000005001842,0.00006666038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747611,"threshold_uncertainty_score":0.009242356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715035887949453,"score_gpt":0.3314677911805628,"score_spread":0.2943174323010683,"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."}}