{"id":"W4362603585","doi":"10.1117/12.2653903","title":"Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Research Resources; National Institutes of Health; Genentech; National Institute of Neurological Disorders and Stroke; IXICO; H. Lundbeck A/S; Servier; Eisai; University of Southern California; Pfizer; Biogen; BioClinica; National Institute of Mental Health; Novartis Pharmaceuticals Corporation; Northern California Institute for Research and Education; Vanderbilt Institute for Clinical and Translational Research; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Science Foundation","keywords":"Computer science; Scanner; Neuroimaging; Artificial intelligence; Sampling (signal processing); Wilcoxon signed-rank test; Harmonization; Pattern recognition (psychology); Computer vision; Statistics; Filter (signal processing); Mathematics; Medicine","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":[0.01000654,0.0008808622,0.0009038287,0.00101605,0.0005738124,0.0006377159,0.0008275901,0.0006519954,0.001409199],"category_scores_gemma":[0.03032891,0.0005109247,0.001377525,0.001427641,0.001106797,0.0008321163,0.001441045,0.0008274036,0.0004936897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003097488,"about_ca_system_score_gemma":0.0008116354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009004,"about_ca_topic_score_gemma":0.001709471,"domain_scores_codex":[0.9935673,0.003265343,0.0005217619,0.001146108,0.001254556,0.0002449679],"domain_scores_gemma":[0.9832865,0.009338208,0.00164804,0.004208888,0.001342256,0.0001761036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003646648,0.0006386832,0.06753578,0.0007596009,0.001977326,0.0005154427,0.001867803,0.07172944,0.3355277,0.005127316,0.002556041,0.5081183],"study_design_scores_gemma":[0.0003532367,0.004306202,0.5121883,0.00007131498,0.001222549,0.002013843,0.0004435362,0.1928805,0.2620777,0.01282862,0.01120958,0.0004046519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3118272,0.0005033159,0.6839457,0.0001865915,0.0001068145,0.0004250049,0.0002373817,0.001611236,0.001156855],"genre_scores_gemma":[0.7206769,0.0002175288,0.274873,0.0001712485,0.00008963494,0.0008526253,0.0008695016,0.001120614,0.001128835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01000654,"threshold_uncertainty_score":0.05292028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007001246910727325,"score_gpt":0.285330361678074,"score_spread":0.2783291147673466,"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."}}