{"id":"W4406894118","doi":"10.1016/j.jneumeth.2025.110381","title":"Ramp protocol for non-linear cerebrovascular reactivity with transcranial doppler ultrasound","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Engineering and Physical Sciences Research Council; University of Oxford; Rhodes Scholarships","keywords":"Transcranial Doppler; Protocol (science); Medicine; Doppler ultrasound; Doppler effect; Cardiology; Internal medicine; Physics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002525016,0.0009772554,0.000794819,0.0004261776,0.0003391968,0.0003872813,0.0009472619,0.0008395899,0.003396227],"category_scores_gemma":[0.005203251,0.000581686,0.0005627877,0.0003093418,0.0004208417,0.0004564949,0.0008078334,0.001270414,0.0008400353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128471,"about_ca_system_score_gemma":0.0003606291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005341664,"about_ca_topic_score_gemma":0.000668215,"domain_scores_codex":[0.9984634,0.0007146411,0.0001309972,0.0002077042,0.0003783468,0.000104843],"domain_scores_gemma":[0.998556,0.0006241467,0.0001631328,0.0003055904,0.0002747819,0.00007653594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01283817,0.003315556,0.01674681,0.001148287,0.0002921954,0.001073839,0.00136195,0.01781666,0.707372,0.002261162,0.005582287,0.2301911],"study_design_scores_gemma":[0.001676699,0.05092115,0.2275625,0.0003076986,0.000804831,0.003391142,0.0006822703,0.2351838,0.4480712,0.005494085,0.02505529,0.0008494429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3057937,0.000626463,0.6777168,0.0001792023,0.0002177808,0.008777452,0.0008393545,0.002886234,0.002963183],"genre_scores_gemma":[0.7476045,0.0005664407,0.2257579,0.0004036226,0.0001342682,0.02158112,0.000809193,0.0006430408,0.002499969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003396227,"threshold_uncertainty_score":0.01335371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366811538652919,"score_gpt":0.3730047019701188,"score_spread":0.3393365865835896,"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."}}