{"id":"W1996806662","doi":"10.1007/s00234-009-0600-1","title":"An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer’s disease","year":2009,"lang":"en","type":"article","venue":"Neuroradiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Université de Montréal; Stanley Medical Research Institute","keywords":"Voxel; Voxel-based morphometry; White matter; Histogram; Artificial intelligence; Gray (unit); Computer science; Pattern recognition (psychology); Histogram equalization; Medicine; Magnetic resonance imaging; 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":[0.001211933,0.0005441754,0.0005772774,0.001505348,0.0004091479,0.0008478262,0.0008365876,0.001044949,0.001722406],"category_scores_gemma":[0.002607745,0.0005287724,0.0006746314,0.001258138,0.0003316246,0.0006424874,0.0007233005,0.0007330708,0.0003334049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169599,"about_ca_system_score_gemma":0.0009855785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472343,"about_ca_topic_score_gemma":0.004884031,"domain_scores_codex":[0.9998235,0.00004840218,0.00001240773,0.00002997614,0.00007262862,0.00001319906],"domain_scores_gemma":[0.9991701,0.0004018744,0.00006656662,0.00009608886,0.0002250363,0.00004045729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007922421,0.0003275873,0.009099961,0.0006586263,0.0005816021,0.001039261,0.0004691157,0.05144166,0.2701907,0.004943146,0.004247516,0.6562085],"study_design_scores_gemma":[0.0002141711,0.0004685879,0.02453624,0.0000625704,0.0005276712,0.009249824,0.0001814294,0.8658977,0.08039612,0.008937957,0.009327556,0.0002002507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05570092,0.0005872122,0.9402653,0.0002828846,0.00006892221,0.000146624,0.000340528,0.001845118,0.0007624349],"genre_scores_gemma":[0.1277279,0.0005829812,0.8697686,0.0001042393,0.00004563355,0.0001353267,0.0001777016,0.0003727151,0.001084939],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002472343,"threshold_uncertainty_score":0.006409347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304951366869011,"score_gpt":0.3839632499832103,"score_spread":0.3534681132963092,"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."}}