{"id":"W4413038109","doi":"10.1161/strokeaha.125.050978","title":"MRI-Based Classification of Cerebral Hemodynamic Failure With Resting Perfusion Metrics and Cerebrovascular Reactivity","year":2025,"lang":"en","type":"article","venue":"Stroke","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Cerebral blood flow; Perfusion; Magnetic resonance imaging; Perfusion scanning; Hemodynamics; Cardiology; Cerebral perfusion pressure; Internal medicine; Middle cerebral artery; Nuclear medicine; Radiology; Ischemia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052838,0.0005353974,0.0003967743,0.001334534,0.0002559379,0.0005138548,0.0003769265,0.0005550613,0.001745207],"category_scores_gemma":[0.002612919,0.0001345971,0.000246448,0.0004078168,0.0004339058,0.0003359975,0.0003904066,0.0002906883,0.0003398999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954254,"about_ca_system_score_gemma":0.0001557171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005895731,"about_ca_topic_score_gemma":0.0008326331,"domain_scores_codex":[0.9996738,0.00009474202,0.00004953134,0.0000785788,0.00005655357,0.00004667808],"domain_scores_gemma":[0.9984453,0.0004350258,0.0005733498,0.0001232063,0.000210958,0.0002122135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001227073,0.0000970015,0.9815899,0.00004936317,0.0001071224,0.0005594914,0.0001745128,0.000248244,0.008788954,0.00008618578,0.0002019916,0.006870268],"study_design_scores_gemma":[0.00002121965,0.0004021895,0.9955575,0.000008969282,0.00004846483,0.001710599,0.0001131774,0.001010112,0.0008590691,0.00009734092,0.0001601653,0.00001104885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985446,0.0001974694,0.000467262,0.00002025372,0.000006547436,0.00002091185,0.0001173887,0.00001101176,0.0006145673],"genre_scores_gemma":[0.9993268,0.00005177314,0.0003345258,0.00001487025,0.00001420651,0.00002280893,0.0001680604,0.00000339357,0.00006356378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745207,"threshold_uncertainty_score":0.005838275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257493935056596,"score_gpt":0.2821601802299309,"score_spread":0.269585240879365,"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."}}