{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005209151,0.0001854136,0.0001721134,0.0004065851,0.0002517752,0.0003771664,0.0002765993,0.0004967649,0.001125162],"category_scores_gemma":[0.001732314,0.000236784,0.0002036276,0.0002213959,0.0003039704,0.0004855738,0.000129888,0.0006530832,0.0002278101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387262,"about_ca_system_score_gemma":0.0003978602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328985,"about_ca_topic_score_gemma":0.002658679,"domain_scores_codex":[0.9999381,0.00001567006,0.00000353094,0.00001432393,0.00001290729,0.0000154703],"domain_scores_gemma":[0.9988045,0.0006679718,0.0001143727,0.00008256375,0.0002062346,0.0001244239],"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":[0.0005217968,0.00006639877,0.002674811,0.00005785034,0.00002747803,0.000120981,0.0001003473,0.0002860924,0.991519,0.0002627911,0.0001075025,0.004254917],"study_design_scores_gemma":[0.00004760855,0.0008104519,0.2439136,0.00003469173,0.0001318313,0.001953351,0.0001628289,0.01642296,0.7340977,0.0009540312,0.001418114,0.00005284361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699861,0.001136894,0.02605559,0.0001883103,0.00001566205,0.00004403205,0.000314372,0.0001309667,0.002128055],"genre_scores_gemma":[0.9865168,0.0005383145,0.01067737,0.0001717356,0.00002644638,0.00007143553,0.0006257264,0.0001252669,0.001246972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328985,"threshold_uncertainty_score":0.003764033,"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."}}