{"id":"W4224272743","doi":"10.1016/j.neurobiolaging.2022.04.010","title":"Relationship between cerebrospinal fluid neurodegeneration biomarkers and temporal brain atrophy in cognitively healthy older adults","year":2022,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council; Alzheimer's Association; National Institute on Aging; Helse Sør-Øst RHF; Canadian Institutes of Health Research; Nasjonalforeningen for Folkehelsen; Norges Forskningsråd; Olav Thon Stiftelsen; Vetenskapsrådet; Universitetet i Oslo; Hjärnfonden; Alzheimer's Drug Discovery Foundation","keywords":"Neurogranin; Atrophy; Neurodegeneration; Cerebrospinal fluid; Pathology; Medicine; Neuroscience; Hippocampal formation; Frontotemporal dementia; Biomarker; Internal medicine; Dementia; Psychology; Disease; Biology; Biochemistry; Phosphorylation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003356244,0.0002642099,0.0002636372,0.0007191567,0.0002755945,0.0004347621,0.0001475341,0.0003507332,0.0007323564],"category_scores_gemma":[0.002068318,0.0001539396,0.0001550356,0.0004291414,0.0002059432,0.0003310393,0.00031024,0.0002750498,0.0001318104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257361,"about_ca_system_score_gemma":0.000172989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005884544,"about_ca_topic_score_gemma":0.007910936,"domain_scores_codex":[0.9998763,0.00002128806,0.00002111039,0.00003172868,0.00002636203,0.00002323643],"domain_scores_gemma":[0.9993199,0.0001223385,0.0003398042,0.00003311922,0.0001066961,0.00007818962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003868027,0.00005300855,0.9958138,0.00001441535,0.00006806946,0.0001818025,0.0001956835,0.00003931114,0.0008043135,0.00001689921,0.00007275141,0.002353234],"study_design_scores_gemma":[0.000007820952,0.0001054997,0.9991316,0.000005368002,0.00002251905,0.0002325386,0.0001393354,0.0001143763,0.0001137684,0.00003623041,0.00008866625,0.000002292233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994887,0.0002260801,0.00002321631,0.00001783601,0.000002741689,0.000002009824,0.00008041738,0.000001416286,0.0001575625],"genre_scores_gemma":[0.9996177,0.00009186382,0.00005113587,0.0000218919,0.00000686853,0.000003331267,0.0001038036,5.612792e-7,0.0001028347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005884544,"threshold_uncertainty_score":0.01170063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328829909542432,"score_gpt":0.3145933688642054,"score_spread":0.2813050697687811,"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."}}