{"id":"W2594708294","doi":"10.3389/fnagi.2017.00046","title":"Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative","year":2017,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Synarc; University of Southern California; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Alzheimer's Disease Neuroimaging Initiative; Recall; Episodic memory; Dementia; Psychology; Neuroimaging; Logistic regression; Audiology; Disease; Alzheimer's disease; Cognition; Medicine; Oncology; Clinical psychology; Internal medicine; Neuroscience; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001422897,0.0005707189,0.0005413807,0.001075601,0.0002333787,0.0007545279,0.0004777939,0.0004413968,0.001176293],"category_scores_gemma":[0.004537208,0.0001768972,0.0004715359,0.0005344618,0.0002069262,0.0004444602,0.0003691899,0.0006173618,0.0003218029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700109,"about_ca_system_score_gemma":0.00020125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876283,"about_ca_topic_score_gemma":0.002396083,"domain_scores_codex":[0.9997206,0.00007080573,0.00004686766,0.00006832875,0.00006828451,0.00002504916],"domain_scores_gemma":[0.9980301,0.0005575795,0.0008128413,0.0001628932,0.0002183722,0.0002182386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004827987,0.0001096076,0.9935629,0.00001635396,0.00008113353,0.00004945575,0.00003431389,0.0001172566,0.0004068113,0.00001073893,0.000111941,0.005016616],"study_design_scores_gemma":[0.00002133846,0.0005028292,0.9966703,0.00001282843,0.0000986829,0.0003823415,0.00005617503,0.001512471,0.0004959245,0.00009765915,0.0001419739,0.000007474242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987881,0.0002945697,0.0002544867,0.00002912365,0.000009303934,0.00001321778,0.0001900427,0.00001297218,0.0004081489],"genre_scores_gemma":[0.9989666,0.00008401093,0.0004212248,0.00001021614,0.00001147535,0.000008265842,0.0003399939,0.000002020669,0.000156245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001876283,"threshold_uncertainty_score":0.007525086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644119020409364,"score_gpt":0.3385611971437041,"score_spread":0.2741492951027678,"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."}}