{"id":"W2973527699","doi":"10.1038/s41598-019-49914-3","title":"Brain atrophy and patch-based grading in individuals from the CIMA-Q study: a progressive continuum from subjective cognitive decline to AD","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Recherche Industrielle du Québec; Université Laval; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Pfizer Canada; Alzheimer's Society; Consortium canadien en neurodégénérescence associée au vieillissement; Pfizer","keywords":"Entorhinal cortex; Atrophy; Magnetic resonance imaging; Dementia; Medicine; Cognition; Grading (engineering); Disease; Cognitive decline; Internal medicine; Audiology; Psychology; Pathology; Hippocampus; Psychiatry; Radiology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001060275,0.0004345481,0.0003557056,0.001103767,0.0006830934,0.0005471323,0.0004168657,0.0005490687,0.0008509483],"category_scores_gemma":[0.002817638,0.0002016126,0.0002559437,0.0006450256,0.0006279584,0.0003900095,0.0004476785,0.0003969744,0.0001524651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004674599,"about_ca_system_score_gemma":0.0003755866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04200911,"about_ca_topic_score_gemma":0.05179958,"domain_scores_codex":[0.9996873,0.00007494325,0.00003447197,0.000085825,0.00007681639,0.00004057803],"domain_scores_gemma":[0.9992056,0.0001249008,0.0002667388,0.00007123233,0.0001394963,0.0001920833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004247375,0.00004560871,0.9967089,0.00001125419,0.00004057398,0.0002670629,0.0003858165,0.00003102882,0.0006238297,0.00002022966,0.00006556202,0.001375359],"study_design_scores_gemma":[0.000009529051,0.00008121497,0.9994407,0.000002679586,0.000007919336,0.0001993517,0.0001257079,0.00005462315,0.00002751882,0.00001821712,0.00003080307,0.000001639399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996505,0.00007832035,0.00003552167,0.00001470189,0.000002051233,0.00001253249,0.000058972,0.000001307364,0.0001460863],"genre_scores_gemma":[0.9996438,0.00002987544,0.00006150901,0.00002148749,0.000004363475,0.000007475138,0.0001452446,0.000001153757,0.00008514446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04200911,"threshold_uncertainty_score":0.08352917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084890743778259,"score_gpt":0.3243683776786631,"score_spread":0.3035194702408804,"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."}}