{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086028,0.00009635194,0.000132083,0.00009528956,0.0001694896,0.00006149086,0.0000654469,0.00003360756,0.00005121558],"category_scores_gemma":[0.0001072888,0.00008728517,0.0001092503,0.0002047313,0.00008560254,0.0001081862,0.00002616538,0.00008643467,0.00002730026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000027042,"about_ca_system_score_gemma":0.0001176966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002669451,"about_ca_topic_score_gemma":2.776705e-7,"domain_scores_codex":[0.9986792,0.000007171372,0.000275175,0.0006196019,0.0002155286,0.0002033919],"domain_scores_gemma":[0.9986007,0.00003913154,0.0001571385,0.0008984253,0.0001354538,0.0001692085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002624892,0.0007637697,0.3833511,0.0002616625,0.00006548795,0.0002023339,0.000256239,0.00009592368,0.4399247,0.01321797,0.1086331,0.05296518],"study_design_scores_gemma":[0.001101905,0.0001871889,0.1020546,0.000231309,0.0004395379,0.0003758771,0.0001405092,0.04112806,0.07981958,0.1133071,0.6605109,0.0007034548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445403,0.0002375705,0.03970411,0.004472235,0.003608686,0.003935128,0.00001204965,0.0006132239,0.002876759],"genre_scores_gemma":[0.9835068,0.000002820592,0.01326458,0.0001446107,0.00007434385,0.0001975353,0.0001629097,0.0000201789,0.002626204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5518778,"threshold_uncertainty_score":0.3559386,"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."}}