{"id":"W4406419546","doi":"10.1038/s41598-024-81305-1","title":"Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"GE Healthcare","keywords":"Echo (communications protocol); Resting state fMRI; Perfusion; Arterial spin labeling; Nuclear magnetic resonance; Coupling (piping); Perfusion scanning; Medicine; Physics; Neuroscience; Cardiology; Computer science; Radiology; Biology; Materials science","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":[0.0005854004,0.0003025814,0.0001833554,0.0005595469,0.0001379802,0.0003874353,0.0001852613,0.0003432447,0.0005756253],"category_scores_gemma":[0.001416622,0.0001448725,0.0001279025,0.0003620207,0.0002703124,0.0003237144,0.0001626548,0.0002466817,0.000107068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075034,"about_ca_system_score_gemma":0.0001442641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006965104,"about_ca_topic_score_gemma":0.001366029,"domain_scores_codex":[0.9998,0.00006952629,0.0000109885,0.00005639648,0.00004822605,0.00001479325],"domain_scores_gemma":[0.9996131,0.0001219814,0.0001040544,0.00004873922,0.00008059585,0.00003160423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001040778,0.0001733272,0.02268404,0.0002236849,0.0001178203,0.0003023274,0.0004128269,0.001560534,0.9073589,0.0002811162,0.0002052417,0.06563951],"study_design_scores_gemma":[0.0001252736,0.002455652,0.6750027,0.00002376935,0.0003165582,0.00332656,0.0002212478,0.05360818,0.2623141,0.001142017,0.001369578,0.00009449398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947544,0.0002591524,0.05123038,0.00003906639,0.000008411083,0.00008999022,0.0001689921,0.0001382787,0.0005217334],"genre_scores_gemma":[0.9692007,0.0001631283,0.02995095,0.00002242355,0.00001737709,0.00009975269,0.0001961562,0.00004128529,0.0003082945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006965104,"threshold_uncertainty_score":0.003095984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602903159790238,"score_gpt":0.3508072445632774,"score_spread":0.3247782129653751,"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."}}