{"id":"W2009354197","doi":"10.1016/j.neuroimage.2009.04.023","title":"Relating one-year cognitive change in mild cognitive impairment to baseline MRI features","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université Laval","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Magnetic resonance imaging; Correlation; Linear regression; Cognitive impairment; Temporal lobe; Cognitive decline; Cognition; Medicine; Psychology; Nuclear medicine; Audiology; Dementia; Mathematics; Statistics; Internal medicine; Disease; Radiology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002403768,0.0006514852,0.0008972407,0.002291864,0.0005933958,0.0009237498,0.0007268445,0.001178658,0.001443485],"category_scores_gemma":[0.01116119,0.000228433,0.001404348,0.001442314,0.0005222943,0.001095821,0.0006952636,0.001614873,0.0003225463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006654721,"about_ca_system_score_gemma":0.0006187547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400629,"about_ca_topic_score_gemma":0.01158983,"domain_scores_codex":[0.9991435,0.0002218475,0.0001254524,0.0001641419,0.0001987671,0.0001462483],"domain_scores_gemma":[0.9929826,0.002631097,0.00218627,0.0004510592,0.0009539234,0.0007950385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008360036,0.0004269051,0.9812712,0.00006311211,0.00064744,0.0001544395,0.000255054,0.0005653719,0.0004314859,0.00004406078,0.0001857724,0.007595181],"study_design_scores_gemma":[0.0000263078,0.0009693936,0.9979285,0.000006210834,0.0001637788,0.0001736793,0.00009318317,0.0003239912,0.0001260743,0.00005652686,0.0001215852,0.0000107541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971162,0.0006366888,0.0001490309,0.00004182748,0.00002949134,0.0000303276,0.0004594809,0.00001744154,0.001519535],"genre_scores_gemma":[0.999038,0.0000996845,0.00008194288,0.00001618832,0.00001502261,0.00001589178,0.0003598864,0.000002514718,0.0003708875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01400629,"threshold_uncertainty_score":0.0278495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338655886570086,"score_gpt":0.3534915123617402,"score_spread":0.3101049534960393,"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."}}