{"id":"W4414160379","doi":"10.1002/mrm.70083","title":"Ex vivo human brain volumetry: Validation of MRI measurements","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Douglas Mental Health University Institute; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Ex vivo; Human brain; Magnetic resonance imaging; In vivo; Similarity (geometry); Volume (thermodynamics)","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":[0.005037297,0.001023917,0.0004616661,0.0008986023,0.0003499999,0.0009094684,0.001319411,0.0007253768,0.001860761],"category_scores_gemma":[0.008476462,0.0005279588,0.0003123757,0.0004675432,0.001258723,0.0006592573,0.0009024411,0.0005129979,0.0007838865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666972,"about_ca_system_score_gemma":0.0003506754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007606732,"about_ca_topic_score_gemma":0.001163695,"domain_scores_codex":[0.996726,0.00139136,0.0002879246,0.0007402218,0.0007894852,0.00006497718],"domain_scores_gemma":[0.9938427,0.001803168,0.0006951475,0.00229344,0.001278758,0.00008692655],"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":[0.001597351,0.0003843004,0.02764139,0.001094006,0.0006275698,0.0003819354,0.0008986158,0.01115988,0.8659176,0.001446991,0.002117793,0.0867325],"study_design_scores_gemma":[0.0001938865,0.002969528,0.179448,0.0002246997,0.0004718417,0.007557994,0.0004140858,0.03986647,0.7529961,0.001673014,0.0140403,0.0001441058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.50109,0.003218557,0.4875639,0.0001656382,0.0002229614,0.0004097747,0.002349303,0.001610789,0.003369034],"genre_scores_gemma":[0.8393092,0.001020247,0.1542966,0.0002094105,0.00008188209,0.0005312476,0.002324065,0.0005590961,0.001668263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005037297,"threshold_uncertainty_score":0.02664006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664095593113412,"score_gpt":0.3674512972308994,"score_spread":0.3308103412997652,"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."}}