{"id":"W2177229706","doi":"10.3791/51861","title":"High-resolution <em>In Vivo</em> Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging","year":2015,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; McGill University; Douglas Mental Health University Institute; University of Toronto","funders":"National Institute of Mental Health; Alzheimer's Society; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Centre for Addiction and Mental Health Foundation; Weston Brain Institute; National Alliance for Research on Schizophrenia and Depression","keywords":"Dentate gyrus; Subiculum; Hippocampus; Hippocampal formation; Magnetic resonance imaging; Neuroscience; Context (archaeology); Parahippocampal gyrus; Biology; Computer science; Temporal lobe; Medicine; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001209676,0.0002957763,0.0004288661,0.0005649858,0.0003513004,0.0002154161,0.0006157532,0.00009599857,0.0001489954],"category_scores_gemma":[0.0004232076,0.0002751178,0.0001406786,0.000557347,0.0002057481,0.0009716988,0.0001672876,0.0003786064,0.00001056964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343012,"about_ca_system_score_gemma":0.0002612626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001199351,"about_ca_topic_score_gemma":0.000004051722,"domain_scores_codex":[0.9956501,0.0007597136,0.0009813689,0.0005543384,0.001305193,0.0007492976],"domain_scores_gemma":[0.9984405,0.0001765391,0.0005910183,0.0002230491,0.0002483495,0.0003205201],"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":[0.001768013,0.0005912028,0.0004748836,0.00002611587,0.000002345401,0.000246482,0.0009210568,0.000100497,0.9933981,0.0001704984,0.001613055,0.0006877922],"study_design_scores_gemma":[0.01115862,0.001636236,0.0003065319,0.0001044993,0.0000142037,0.0001762291,0.0002810275,0.004822251,0.9786551,0.0004641643,0.00212685,0.0002542977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797448,0.0001022459,0.0008548108,0.0001026323,0.0007873906,0.01829896,0.00001000298,0.00003029022,0.00006886219],"genre_scores_gemma":[0.9869249,0.0000154012,0.001675986,0.001013745,0.0004411387,0.009397523,8.123963e-7,0.00007042221,0.0004600776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474297,"threshold_uncertainty_score":0.9999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094178296869429,"score_gpt":0.4877078712747508,"score_spread":0.378290041587808,"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."}}