{"id":"W3085997463","doi":"10.1002/hbm.25192","title":"Standard‐space atlas of the viscoelastic properties of the human brain","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"NIH Office of the Director; National Institute on Aging; National Institute of Mental Health; Medical Research Council; Intelligence Advanced Research Projects Activity; National Cancer Institute; National Institute of Neurological Disorders and Stroke; University of Edinburgh; Office of the Director of National Intelligence; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; University of Illinois at Urbana-Champaign; Medical Research Council Canada","keywords":"Magnetic resonance elastography; Neuroanatomy; White matter; Viscoelasticity; Neuroimaging; Brain atlas; Human brain; Computer science; Atlas (anatomy); Neuroscience; Brain tissue; Magnetic resonance imaging; Brain mapping; Artificial intelligence; Elastography; Biomedical engineering; Biology; Anatomy; Medicine; Physics; Radiology","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":[0.0001878847,0.0001544104,0.0002524443,0.00003255297,0.0002485492,0.00003340323,0.000391684,0.00006033829,0.0000393794],"category_scores_gemma":[0.0002276702,0.0001016402,0.0001052078,0.000170048,0.0001480574,0.00007367992,0.0001870903,0.0001999025,0.000003092412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205254,"about_ca_system_score_gemma":0.00002258051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462843,"about_ca_topic_score_gemma":0.00003369742,"domain_scores_codex":[0.9989827,0.00007794015,0.0003420044,0.0001449856,0.0002438439,0.0002085436],"domain_scores_gemma":[0.999504,0.00006036007,0.00009389604,0.0002545681,0.00004681871,0.00004036193],"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":[0.000005082876,0.000005453713,0.0001011077,0.0006210369,0.00003152277,3.309882e-7,0.004498497,0.03768504,0.9507384,0.005304249,0.0009944713,0.0000148058],"study_design_scores_gemma":[0.002764383,0.0003676494,0.02034012,0.007385949,0.0001730922,0.000009515842,0.004696069,0.06844305,0.866506,0.006603439,0.02127334,0.001437423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890196,0.00009808159,0.006901308,0.002421027,0.0001991019,0.0002667481,0.00001159237,0.0001036211,0.0009788723],"genre_scores_gemma":[0.9993565,0.000001271673,0.00008179737,0.0002602783,0.0001374838,0.000007338537,9.463467e-7,0.00003248682,0.0001218882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08423243,"threshold_uncertainty_score":0.4144765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397940345919746,"score_gpt":0.2140527599264101,"score_spread":0.1800733564672127,"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."}}