{"id":"W2897169366","doi":"10.1016/j.nicl.2018.10.010","title":"Atrophy, metabolism and cognition in the posterior cortical atrophy spectrum based on Alzheimer's disease cerebrospinal fluid biomarkers","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal","funders":"GE Healthcare; Association France Alzheimer; Astellas Pharma; Biogen; Eli Lilly and Company","keywords":"Posterior cortical atrophy; Atrophy; Cerebrospinal fluid; Neuroscience; Alzheimer's disease; Cognition; Disease; Medicine; Pathology; Cognitive reserve; Cognitive impairment; Psychology; Dementia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009433688,0.0002269172,0.0003493594,0.0001572593,0.0001632272,0.0001007956,0.0001623126,0.00008313573,0.0004585867],"category_scores_gemma":[0.0007725186,0.0001572617,0.0002256242,0.0002648488,0.001063473,0.00009279023,0.00009552911,0.0005876576,0.0002032708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001203651,"about_ca_system_score_gemma":0.0001567372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001008836,"about_ca_topic_score_gemma":0.000004004334,"domain_scores_codex":[0.996814,0.0008372938,0.0005415683,0.000660309,0.0006719275,0.000474901],"domain_scores_gemma":[0.9983118,0.0006202265,0.00007021843,0.0004501175,0.000115173,0.0004324817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0422929,0.005219792,0.885694,0.0001053853,0.0003264768,0.004607034,0.00007217196,1.390139e-7,0.01006496,0.0001817678,0.002913981,0.04852138],"study_design_scores_gemma":[0.005193567,0.00542852,0.9841387,0.00006913444,0.000642487,0.00004706563,0.00003036798,0.002480857,0.0003797746,0.0001355839,0.00130256,0.0001514255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865028,0.0001415482,0.00009667908,0.01003301,0.0002881433,0.0009419228,0.0000343611,0.00003968436,0.001921805],"genre_scores_gemma":[0.9882019,0.0000639706,0.000156911,0.01074422,0.0006980843,0.00004063818,0.00003995949,0.00002954683,0.00002475201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09844464,"threshold_uncertainty_score":0.6412944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813181844946669,"score_gpt":0.3765416660721161,"score_spread":0.3284098476226495,"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."}}