{"id":"W2975235655","doi":"10.1038/s41598-019-49970-9","title":"Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Sunnybrook Health Science Centre; St Joseph's Health Centre; McGill University; Jewish General Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; National Institutes of Health; Genentech; IXICO; Eisai; University of Southern California; Agence Nationale de la Recherche; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Biogen; Servier; Alzheimer's Disease Neuroimaging Initiative; Eli Lilly and Company; Foundation for the National Institutes of Health","keywords":"Subiculum; Computer science; Hippocampal formation; Diffusion MRI; Magnetic resonance imaging; Hippocampus; Artificial intelligence; Neuroimaging; Grading (engineering); Alzheimer's Disease Neuroimaging Initiative; Neuroscience; Pattern recognition (psychology); Machine learning; Alzheimer's disease; Pathology; Medicine; Disease; Radiology; Biology; Dentate gyrus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008297968,0.0008018027,0.0007439679,0.003019621,0.0002411059,0.0007750516,0.0004819492,0.0006509611,0.001504115],"category_scores_gemma":[0.001892885,0.000117261,0.0005697365,0.0009126425,0.0002737859,0.0007921631,0.0007089623,0.0004078117,0.0005771014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933916,"about_ca_system_score_gemma":0.0004174541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924674,"about_ca_topic_score_gemma":0.004602895,"domain_scores_codex":[0.9996879,0.00005898568,0.0000319495,0.00007610941,0.00009994742,0.00004511621],"domain_scores_gemma":[0.9993861,0.0001433598,0.0001162074,0.00007862971,0.0002020302,0.00007373094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00123767,0.0002057398,0.07109629,0.0004422731,0.0003681736,0.000307783,0.0002706554,0.0214357,0.06162105,0.001467045,0.00484951,0.8366981],"study_design_scores_gemma":[0.0001155017,0.001154109,0.1628978,0.0002009429,0.0009075187,0.002425895,0.0007646927,0.7460615,0.06606374,0.01107873,0.008170496,0.0001590906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5873887,0.005846619,0.3972808,0.0005215805,0.0001495296,0.0004775529,0.00189137,0.001836596,0.00460747],"genre_scores_gemma":[0.8581861,0.001303208,0.1376126,0.00007035393,0.0001354191,0.0001399681,0.001109302,0.00006632243,0.001376642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003019621,"threshold_uncertainty_score":0.005815327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100511413374456,"score_gpt":0.37743080638013,"score_spread":0.2673796650426845,"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."}}