{"id":"W4386116634","doi":"10.1002/hbm.26461","title":"Mapping the macrostructure and microstructure of the in vivo human hippocampus using diffusion <scp>MRI</scp>","year":2023,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; McGill University; Montreal Neurological Institute and Hospital; Western University","funders":"Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Canadian Open Neuroscience Platform; Health Canada; Canada First Research Excellence Fund; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Hippocampus; Diffusion MRI; In vivo; Neuroscience; Microstructure; Diffusion; Nuclear magnetic resonance; Magnetic resonance imaging; Chemistry; Psychology; Biology; Medicine; Physics; Crystallography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002383089,0.0002159869,0.0001012366,0.0005082357,0.0001477473,0.0003591798,0.0001232664,0.0002356203,0.0008872912],"category_scores_gemma":[0.0005207657,0.000161969,0.00009264544,0.0002295321,0.0003280515,0.0002903795,0.0001625419,0.0001891818,0.0001918651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148864,"about_ca_system_score_gemma":0.0002554917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584479,"about_ca_topic_score_gemma":0.006391793,"domain_scores_codex":[0.9999591,0.000009283998,0.000003771877,0.00001256076,0.00001090874,0.000004315394],"domain_scores_gemma":[0.9998584,0.00004456673,0.00003592192,0.00002154774,0.00002626142,0.00001341046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002765116,0.00003784173,0.0140466,0.0002733827,0.00008744562,0.0006501987,0.0002275546,0.004829017,0.9384859,0.0007379643,0.000755652,0.03959194],"study_design_scores_gemma":[0.00005744783,0.000751889,0.376918,0.0001159677,0.0001800218,0.008518312,0.00045051,0.05818843,0.5420281,0.003125807,0.009580456,0.00008511292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271313,0.002481876,0.06668079,0.0002890436,0.00001940331,0.00006230955,0.001001478,0.0002844222,0.002049286],"genre_scores_gemma":[0.9636447,0.001781007,0.0329249,0.000115655,0.00002627725,0.00005271943,0.0005083702,0.0000599413,0.0008865326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003584479,"threshold_uncertainty_score":0.007127225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589021068590958,"score_gpt":0.3254513013622167,"score_spread":0.2665491945031209,"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."}}