{"id":"W4223652742","doi":"10.1093/brain/awac138","title":"Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer’s disease","year":2022,"lang":"en","type":"article","venue":"Brain","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; European Research Council; Stiftelsen för Gamla Tjänarinnor; Familjen Erling-Perssons Stiftelse; School of Medicine, Indiana University; Vetenskapsrådet; UK Dementia Research Institute; National Institutes of Health; Olav Thon Stiftelsen; Hjärnfonden; European Commission; Alzheimer's Drug Discovery Foundation; National Institute on Aging; Alzheimer's Association","keywords":"Hippocampal formation; Alzheimer's disease; Psychology; Dementia; Neuroscience; Pathology; Dentate gyrus; Medicine; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000361391,0.0002188589,0.0002451604,0.0006785005,0.0002177488,0.0002848298,0.0001470769,0.0002778786,0.0005536349],"category_scores_gemma":[0.001263076,0.0002244983,0.0001424348,0.0005035597,0.0001794686,0.0002462068,0.0002337557,0.0002007678,0.00007660875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665418,"about_ca_system_score_gemma":0.00009867038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819493,"about_ca_topic_score_gemma":0.002096355,"domain_scores_codex":[0.99991,0.00002149622,0.00001303006,0.00002970626,0.00001658538,0.000009214495],"domain_scores_gemma":[0.9994967,0.00008559434,0.0002610613,0.00004937529,0.00005573784,0.00005152902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000853351,0.00005745621,0.9897871,0.00002512584,0.0001112949,0.0001446935,0.0002849731,0.0002428777,0.004992402,0.00004479523,0.00003669753,0.003419241],"study_design_scores_gemma":[0.000006851632,0.00009621143,0.9987373,0.000002375993,0.00002193817,0.0002487494,0.00006443844,0.0003476515,0.0003341213,0.00008661486,0.00005105362,0.000002796444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995634,0.0002143877,0.00009157396,0.000004867105,9.855436e-7,0.000003335915,0.00004909118,0.000001712652,0.00007071396],"genre_scores_gemma":[0.9996827,0.000070681,0.0001460483,0.000003291443,0.000002328029,0.000002797226,0.00004904308,6.828427e-7,0.0000424709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002819493,"threshold_uncertainty_score":0.005606115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393131774741935,"score_gpt":0.3252033204653043,"score_spread":0.2812720027178849,"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."}}