{"id":"W4295430588","doi":"10.1016/j.jneumeth.2022.109691","title":"Characterization of the echo-time dependence of spin-echo BOLD fMRI at 3 Tesla in grey and white matter","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Grey matter; White matter; Echo (communications protocol); Spin echo; Nuclear magnetic resonance; Hypercapnia; Physics; Psychology; Magnetic resonance imaging; Medicine; Radiology; Computer science; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009604805,0.00006534566,0.0002180086,0.0001344285,0.00008090514,0.000005672246,0.0002269796,0.00002128896,0.00005292361],"category_scores_gemma":[0.0001730935,0.00004583178,0.0000572698,0.00055738,0.0001293452,0.0001320551,0.0001955509,0.0002543248,1.795665e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004498905,"about_ca_system_score_gemma":0.00005263528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001665967,"about_ca_topic_score_gemma":1.883033e-7,"domain_scores_codex":[0.9988836,0.0001753538,0.0004102671,0.0001300633,0.0002985231,0.0001022053],"domain_scores_gemma":[0.9990404,0.0000651423,0.0005730785,0.0002029257,0.00007895826,0.00003946977],"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":[0.00002696368,0.00005728397,0.02526436,0.00001105116,4.233134e-7,0.000003460056,0.0001189123,0.00008171926,0.9721733,0.00001471443,0.00001999538,0.002227819],"study_design_scores_gemma":[0.0002545728,0.000288767,0.534945,0.00006074614,0.00002027073,0.0005547617,0.00003856157,0.001591469,0.4601803,0.0003445215,0.001666541,0.00005455191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918331,0.00003346426,0.07922211,0.001843685,0.0001036446,0.0002346803,0.000009422592,0.000004619079,0.0002173789],"genre_scores_gemma":[0.90263,0.00009103086,0.09512765,0.001133132,0.00001804853,0.0000108525,4.359632e-7,0.00001069753,0.0009781191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.511993,"threshold_uncertainty_score":0.1868966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038046203265861,"score_gpt":0.3788978235170951,"score_spread":0.3485173614844365,"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."}}