{"id":"W3005865658","doi":"10.1002/hipo.23196","title":"Uncal apex position varies with normal aging","year":2020,"lang":"en","type":"article","venue":"Hippocampus","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Alzheimer's Disease Neuroimaging Initiative; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Cambridge","keywords":"Hippocampal formation; Hippocampus; Apex (geometry); Position (finance); Neuroscience; Reference frame; Frame of reference; Psychology; Anatomy; Computer science; Biology; Frame (networking); Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004740227,0.0001199859,0.0001104279,0.00002422651,0.0001936285,0.00006037411,0.0001503838,0.00003706276,0.0001961674],"category_scores_gemma":[0.00007481971,0.00009612459,0.0000284518,0.0002136267,0.00006383886,0.0002478605,0.00004818337,0.0001678007,0.0002657869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009878582,"about_ca_system_score_gemma":0.00002369037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.835016e-7,"about_ca_topic_score_gemma":0.000001052833,"domain_scores_codex":[0.9990346,0.00008624351,0.0001076634,0.0003199679,0.0002181234,0.0002334464],"domain_scores_gemma":[0.9995933,0.00008303236,0.0000470396,0.0001192601,0.00001287855,0.0001445497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001710483,0.00002366311,0.00009498116,0.0000261742,0.000002080944,0.0002992089,0.0005270314,0.00006327348,0.988462,0.006147819,0.000177849,0.004004848],"study_design_scores_gemma":[0.0003524897,0.0003872285,0.0001395378,0.00001586077,0.00001081958,0.0001597933,0.00004662077,0.001189417,0.9945295,0.002539262,0.0004728444,0.0001566331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890585,0.00001216548,0.003667961,0.00315071,0.0002133576,0.000141435,0.000005600354,0.0002040699,0.003546201],"genre_scores_gemma":[0.989445,0.00000397864,0.0003523248,0.009893056,0.0001529319,0.000007735229,0.000002255352,0.00001470155,0.0001280043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006742346,"threshold_uncertainty_score":0.3919847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313812683459608,"score_gpt":0.2646930214309888,"score_spread":0.2115548945963928,"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."}}