{"id":"W2025836502","doi":"10.1002/mrm.10041","title":"Postacquisition suppression of large‐vessel BOLD signals in high‐resolution fMRI","year":2001,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Functional magnetic resonance imaging; Nuclear magnetic resonance; High resolution; First pass; Computer science; Physics; Neuroscience; Psychology; Mathematics; Remote sensing; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004428011,0.000161868,0.0004630918,0.0003057478,0.00003115416,0.000002214596,0.000116814,0.0001345186,0.0006652033],"category_scores_gemma":[0.0001572671,0.0001344166,0.00003512207,0.000795555,0.0001425086,0.00007618049,0.0000411068,0.0002569121,0.000006575026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008899017,"about_ca_system_score_gemma":0.00003426423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003151838,"about_ca_topic_score_gemma":0.00004871372,"domain_scores_codex":[0.9982798,0.00005326985,0.0006347789,0.0003275616,0.0003640582,0.0003404937],"domain_scores_gemma":[0.9991787,0.0001027309,0.0001311355,0.0003988236,0.0001024337,0.00008619763],"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":[0.002900694,0.003212671,0.1884749,0.0005267243,0.000006282756,0.0007176034,0.001750456,0.000928582,0.4831268,0.01551135,0.03367875,0.2691652],"study_design_scores_gemma":[0.007839859,0.002167785,0.8465288,0.003816164,0.00004514064,0.0001054783,0.000553849,0.007527049,0.01115491,0.01016918,0.1097984,0.0002933483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460277,0.01914821,0.01544336,0.01395124,0.00009374657,0.001375095,0.00002058495,0.0000960241,0.003844028],"genre_scores_gemma":[0.985167,0.005414905,0.007566897,0.0007129344,0.0001339365,0.0001398141,0.0000783159,0.00002241427,0.0007638402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6580539,"threshold_uncertainty_score":0.728351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520584002294405,"score_gpt":0.3214934609504635,"score_spread":0.3062876209275194,"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."}}