{"id":"W4210865656","doi":"10.1002/jmri.28105","title":"Left–Right Intensity Asymmetries Vary Depending on Scanner Model for <scp>FLAIR</scp> and <scp>T<sub>1</sub></scp> Weighted <scp>MRI</scp> Images","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Eisai; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; Eunice Kennedy Shriver National Institute of Child Health and Human Development; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Fluid-attenuated inversion recovery; Magnetic resonance imaging; Nuclear medicine; Medicine; Neuroimaging; Artifact (error); Nuclear magnetic resonance; Radiology; Physics; Computer science; Artificial intelligence","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":[0.001383938,0.0002873339,0.0002739561,0.000738354,0.000184832,0.000382793,0.0002652091,0.000228668,0.002774126],"category_scores_gemma":[0.004651226,0.0002850613,0.0002584277,0.0003525444,0.0003341253,0.0004987595,0.0002531513,0.0001037619,0.000583954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144422,"about_ca_system_score_gemma":0.0001418854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362204,"about_ca_topic_score_gemma":0.002419562,"domain_scores_codex":[0.9994556,0.0001559862,0.00007635589,0.00013792,0.0001186688,0.00005546936],"domain_scores_gemma":[0.9977341,0.0007805579,0.0008167849,0.0003838206,0.0002049936,0.00007972916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000808384,0.00003336555,0.9786259,0.00004421482,0.0001305432,0.0006233249,0.0002383111,0.0001715567,0.007109191,0.0001364958,0.0003033829,0.01177521],"study_design_scores_gemma":[0.000022917,0.0001616361,0.9924778,0.00001382797,0.00007004582,0.004219156,0.0001516506,0.0005049464,0.001761286,0.000163579,0.0004436609,0.000009553574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971054,0.0003002418,0.001236897,0.00001886079,0.000004044659,0.00003102592,0.0003712883,0.00001977401,0.000912419],"genre_scores_gemma":[0.9992651,0.00004633733,0.0003419023,0.00001050879,0.00000294852,0.00001479191,0.0002015587,0.000009357671,0.0001074664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002774126,"threshold_uncertainty_score":0.009280384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162415574387152,"score_gpt":0.2625618786707971,"score_spread":0.2509377229269255,"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."}}