{"id":"W4254201145","doi":"10.1016/j.jalz.2009.05.116","title":"IC‐P‐144: Assessment of structural differences in normal aging and Alzheimer's disease: Quantitative and qualitative differences using subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI)","year":2009,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Jewish General Hospital","funders":"","keywords":"Supramarginal gyrus; White matter; Alzheimer's Disease Neuroimaging Initiative; Atrophy; Primary motor cortex; Voxel; Neuroimaging; Insula; Dementia; Psychology; Voxel-based morphometry; Middle temporal gyrus; Neuroscience; Audiology; Motor cortex; Pathology; Medicine; Cognition; Magnetic resonance imaging; Cognitive impairment; Disease; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001693857,0.0005617938,0.0004470205,0.002727665,0.0004675936,0.0007471193,0.0005032766,0.0005344715,0.002035328],"category_scores_gemma":[0.002536576,0.0002142889,0.0002413971,0.001269907,0.0005037421,0.0004885691,0.0005482924,0.0002410868,0.000424652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752327,"about_ca_system_score_gemma":0.0003406233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005580113,"about_ca_topic_score_gemma":0.008244184,"domain_scores_codex":[0.9996551,0.00005773174,0.00004839869,0.0001139125,0.0000916964,0.0000332295],"domain_scores_gemma":[0.99923,0.0001410747,0.0001772772,0.0001392347,0.0002080356,0.0001044652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004001995,0.0004565882,0.7879848,0.000669308,0.0007660796,0.0008179464,0.001464717,0.001655663,0.08103078,0.0007809058,0.006472165,0.1138991],"study_design_scores_gemma":[0.0000324884,0.0002609039,0.9948081,0.00001034882,0.0000402422,0.0008126284,0.00007586367,0.0007996347,0.001874235,0.0002253809,0.001049565,0.00001058967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851586,0.0007410253,0.005771566,0.00004612275,0.0000210031,0.0003955778,0.004349669,0.0002963416,0.003220134],"genre_scores_gemma":[0.9807373,0.0002216077,0.01100298,0.00004248214,0.00003183662,0.0003939718,0.006295523,0.00009587294,0.001178443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005580113,"threshold_uncertainty_score":0.01109529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354310475176029,"score_gpt":0.3488522422368269,"score_spread":0.2753091374850666,"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."}}