{"id":"W3125928972","doi":"10.1101/2021.01.25.428063","title":"NOMIS: Quantifying morphometric deviations from normality over the lifetime of the adult human brain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institute of Mental Health; Sanofi Genzyme; Genentech; Fundamental Research Funds for the Central Universities; National Institutes of Health; IXICO; H. Lundbeck A/S; Servier; Fok Ying Tung Education Foundation; Southwest University; Engineering and Physical Sciences Research Council; Natural Science Foundation of Chongqing; Eisai; National Natural Science Foundation of China; Pfizer; Biogen; BioClinica; Child Mind Institute; University of Southern California; Chongqing Postdoctoral Science Foundation; Northern California Institute for Research and Education; University of Texas at San Antonio; China Postdoctoral Science Foundation; National Center for Research Resources; F. Hoffmann-La Roche; Stavros Niarchos Foundation; Foundation for the National Institutes of Health; Leon Levy Foundation; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Sanofi; Alzheimer's Association","keywords":"Normality; Normative; Pipeline (software); Standard deviation; Quality (philosophy); Human brain; Statistics; Sample (material); Psychology; Artificial intelligence; Computer science; Mathematics; Neuroscience","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":[0.00243161,0.0009261165,0.0005093009,0.002691246,0.0003277189,0.001293319,0.0007012776,0.0004663326,0.00453116],"category_scores_gemma":[0.01529383,0.0002613577,0.0006912668,0.001325395,0.0005376988,0.0008033154,0.001346843,0.0004010063,0.0007897425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000418923,"about_ca_system_score_gemma":0.0004863312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053228,"about_ca_topic_score_gemma":0.003916514,"domain_scores_codex":[0.9992381,0.0001626701,0.00005843686,0.0002172237,0.0002821951,0.00004134668],"domain_scores_gemma":[0.9963155,0.001551341,0.0009685885,0.0005671525,0.0004591091,0.000138273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001776452,0.0001266277,0.646768,0.001142074,0.001848374,0.0005308326,0.001317557,0.02245486,0.009856245,0.008700541,0.02982118,0.2756572],"study_design_scores_gemma":[0.0000911595,0.0006583143,0.8769811,0.000207646,0.00049961,0.003544459,0.0005111184,0.05285559,0.01500729,0.02168105,0.02776446,0.0001983257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7808368,0.002137984,0.1494697,0.0004166331,0.0001833461,0.0003502485,0.05085614,0.007675746,0.00807326],"genre_scores_gemma":[0.9183756,0.0005815543,0.05872189,0.0001004457,0.00007806001,0.0005310784,0.01912181,0.0008429577,0.001646662],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00453116,"threshold_uncertainty_score":0.0151583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05474295651427723,"score_gpt":0.3109837877136186,"score_spread":0.2562408311993413,"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."}}