{"id":"W2897689714","doi":"10.1016/j.jalz.2018.06.2237","title":"IC‐P‐170: A SIGNATURE OF BRAIN ATROPHY HIGHLY PREDICTIVE OF PROGRESSION TO ALZHEIMER'S DEMENTIA AND COGNITIVE DECLINE","year":2018,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Douglas Mental Health University Institute; McGill University; Douglas College","funders":"","keywords":"Atrophy; Grey matter; Dementia; Voxel-based morphometry; Logistic regression; Brain size; Voxel; Psychology; Internal medicine; Neuroimaging; Magnetic resonance imaging; Medicine; Artificial intelligence; Neuroscience; White matter; Radiology; Computer science; Disease","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":[0.0005953131,0.0007353387,0.0006122875,0.001545652,0.0004102474,0.0007149976,0.000488715,0.0006161545,0.001667554],"category_scores_gemma":[0.001560036,0.0001550706,0.0004604158,0.0008679781,0.000369385,0.0002304577,0.0004737787,0.0005780823,0.0006983724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057482,"about_ca_system_score_gemma":0.0006229087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009835965,"about_ca_topic_score_gemma":0.01594156,"domain_scores_codex":[0.9997864,0.00002364409,0.00001826478,0.00007213301,0.00005649525,0.00004305271],"domain_scores_gemma":[0.9995887,0.00006759801,0.0001005487,0.00004796361,0.00009773982,0.00009747936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003675796,0.0004855048,0.7498539,0.0004519662,0.0007425798,0.002023726,0.0003209015,0.01024467,0.08604016,0.0005792849,0.01621747,0.129364],"study_design_scores_gemma":[0.00008109034,0.0004198162,0.9482747,0.0000544245,0.0001844087,0.003027073,0.0001566994,0.03078076,0.01147174,0.00149663,0.003986683,0.00006587627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987604,0.0006874098,0.0032587,0.0001812116,0.00004178118,0.00005834242,0.006274728,0.0004201595,0.001473639],"genre_scores_gemma":[0.9813301,0.00024199,0.004470448,0.00006814817,0.00005111891,0.0000504659,0.01295537,0.00005237954,0.0007800714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009835965,"threshold_uncertainty_score":0.01955742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181573337681325,"score_gpt":0.3291000685591335,"score_spread":0.310942734791001,"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."}}