{"id":"W2526035417","doi":"10.1016/j.jalz.2016.08.010","title":"Longitudinal brain structural changes in preclinical Alzheimer's disease","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; European Regional Development Fund; Canadian Institutes of Health Research; National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; National Institute of Biomedical Imaging and Bioengineering; Northern California Institute for Research and Education; Foundation for the National Institutes of Health; U.S. Department of Defense","keywords":"Atrophy; Precuneus; Biomarker; Cerebrospinal fluid; Medicine; Pathology; Cohort; Alzheimer's disease; Internal medicine; Imaging biomarker; Oncology; Disease; Magnetic resonance imaging; Cognition; Biology; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005399986,0.0002910557,0.0003597887,0.0002413393,0.00009569168,0.00004416527,0.0002250831,0.00009267784,0.004219003],"category_scores_gemma":[0.0001857277,0.0001975615,0.0001607552,0.0002623949,0.0002478286,0.0002277972,0.0002194804,0.0002072641,0.0003649818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001410495,"about_ca_system_score_gemma":0.0001688153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005019388,"about_ca_topic_score_gemma":0.0001738199,"domain_scores_codex":[0.9972573,0.0001758572,0.0004315906,0.0006756503,0.0006763372,0.0007832512],"domain_scores_gemma":[0.9985293,0.000233976,0.0000940122,0.0004567791,0.0001409513,0.0005450198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006384172,0.0002019727,0.7994817,0.000006490004,0.00364733,0.0002427239,0.00003326995,1.042869e-7,0.001192413,0.0002062901,0.002637745,0.1917116],"study_design_scores_gemma":[0.003495435,0.0004946482,0.9726658,0.0001226465,0.007397057,0.0000192399,0.00002300723,0.00003706112,0.007690756,0.0004660454,0.007310409,0.0002779257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126903,0.0504049,0.0001313172,0.0327886,0.0004418374,0.001492752,0.00004933057,0.0001339717,0.001866919],"genre_scores_gemma":[0.9976789,0.0001668815,0.0003111845,0.001184969,0.0002992399,0.0001500052,0.00004754557,0.00004028577,0.0001209546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1914336,"threshold_uncertainty_score":0.9966913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652243432972268,"score_gpt":0.3732788556170683,"score_spread":0.3080545123198415,"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."}}