{"id":"W3176707493","doi":"10.1016/j.mri.2021.06.020","title":"Longitudinal stability of resting-state networks in normal aging, mild cognitive impairment, and Alzheimer's disease","year":2021,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; U.S. Department of Defense","keywords":"Intraclass correlation; Resting state fMRI; Psychology; Audiology; Neuroimaging; Alzheimer's disease; Magnetic resonance imaging; Cognitive impairment; Disease; Medicine; Cardiology; Neuroscience; Cognition; Internal medicine; Psychometrics; Developmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003764304,0.0002025922,0.0002575673,0.00008387279,0.0001614653,0.00005807145,0.0001110268,0.00001712494,0.00006066434],"category_scores_gemma":[0.00403062,0.0002193972,0.00005521323,0.00050271,0.0005419885,0.0002563119,0.0003349234,0.0002396501,0.000002406785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003783662,"about_ca_system_score_gemma":0.0001047285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001418716,"about_ca_topic_score_gemma":0.0001521027,"domain_scores_codex":[0.9978473,0.0002752973,0.000338519,0.0007842967,0.0003104284,0.0004442251],"domain_scores_gemma":[0.9965337,0.002864179,0.0001085521,0.0002474537,0.0001328932,0.0001132012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002117248,0.0001451847,0.9720325,0.00004068592,0.000003190295,0.0003448788,0.0002961553,0.0001440527,0.0008199344,0.00005348245,0.000127218,0.02578095],"study_design_scores_gemma":[0.0009564095,0.00006282466,0.974614,0.00024786,0.00003016165,0.00002870831,0.0001559984,0.01672946,0.006308734,0.0003858604,0.0002646619,0.000215328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665636,0.03016356,0.0001807277,0.001959851,0.0001652113,0.0003038399,0.00004968028,0.00004096096,0.0005725707],"genre_scores_gemma":[0.9985962,0.0003358542,0.0001511243,0.0007455472,0.00004237958,0.00004348631,0.000002300631,0.00001815087,0.00006499379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03203256,"threshold_uncertainty_score":0.8946758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183994538924541,"score_gpt":0.2730482400411254,"score_spread":0.24120829465188,"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."}}