{"id":"W7120176317","doi":"10.1002/alz70856_107471","title":"Enhancing voxel‐level morphometry through Deep Learning‐based MRI Super‐Resolution for detecting Alzheimer's Disease related atrophy","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Atrophy; Magnetic resonance imaging; Disease; High resolution; Medical imaging","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008714001,0.0005666321,0.0004798227,0.0009013874,0.0001898225,0.000547974,0.000660785,0.0005742629,0.0009462757],"category_scores_gemma":[0.002188675,0.0004027011,0.00069828,0.0006539043,0.0003567562,0.0006007582,0.0007183203,0.0008282441,0.0003971109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005176137,"about_ca_system_score_gemma":0.0005907313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003474035,"about_ca_topic_score_gemma":0.006829584,"domain_scores_codex":[0.9998063,0.00004025645,0.00001137998,0.00005017153,0.0000621488,0.00002988121],"domain_scores_gemma":[0.9995719,0.0001835659,0.00007832106,0.00004966213,0.0000947797,0.0000218644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005623672,0.0002480118,0.00712677,0.0005264056,0.0004619849,0.0004226615,0.0003042708,0.3259761,0.2398479,0.006002269,0.006842886,0.4116783],"study_design_scores_gemma":[0.00001363205,0.00006380544,0.00433107,0.00002502229,0.00007960096,0.0002717298,0.00002373479,0.9609304,0.02752383,0.004492756,0.002210617,0.00003386075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1147904,0.001352338,0.8793768,0.0003717921,0.00005591342,0.00008688258,0.000633755,0.002127296,0.001204729],"genre_scores_gemma":[0.493978,0.0009007044,0.501545,0.0002612228,0.00004946024,0.0001306924,0.001105171,0.0003491872,0.001680607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003474035,"threshold_uncertainty_score":0.006907582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035687748987466,"score_gpt":0.3170525071654302,"score_spread":0.2866956296755555,"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."}}