{"id":"W4241128332","doi":"10.1155/2009/610392","title":"Large-Scale Functional Brain Network Abnormalities in Alzheimer’s Disease: Insights from Functional Neuroimaging","year":2009,"lang":"en","type":"article","venue":"Behavioural Neurology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Aging; National Institute on Aging; Alzheimer's Association","keywords":"Neuroscience; Precuneus; Psychology; Episodic memory; Neuroimaging; Temporal lobe; Resting state fMRI; Cognition; Functional neuroimaging; Alzheimer's disease; Human brain; Functional imaging; Functional magnetic resonance imaging; Working memory; Disease; Brain activity and meditation; Medicine; Pathology; Epilepsy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001676324,0.0003997573,0.0003858932,0.0002337562,0.0005271836,0.00007166778,0.0002780165,0.000130645,0.0003246679],"category_scores_gemma":[0.00105556,0.0004095096,0.0001748626,0.0005094996,0.0002474416,0.0005291488,0.0002024268,0.0007459236,0.0001065177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004057961,"about_ca_system_score_gemma":0.00009090365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008498604,"about_ca_topic_score_gemma":0.0003431749,"domain_scores_codex":[0.9963403,0.0006176947,0.000473759,0.001199282,0.0005561897,0.0008128129],"domain_scores_gemma":[0.9958082,0.003363052,0.0001469198,0.0004107172,0.00006148429,0.0002096628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004136287,0.001540863,0.8018207,0.000006891874,0.0000413902,0.002065363,0.0008381028,0.01694823,0.01611248,0.02536656,0.1293991,0.001724022],"study_design_scores_gemma":[0.001102764,0.0002377528,0.9728084,0.000007620308,0.00004392947,0.00007088013,0.00003231298,0.001911497,0.0003062274,0.01363268,0.009486493,0.0003594728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405005,0.0005735701,0.0002316419,0.05487089,0.002468111,0.000315567,0.00008791347,0.0002736062,0.000678223],"genre_scores_gemma":[0.9157104,0.00001351638,0.00002789184,0.08317079,0.0007211787,0.00005627884,0.00007793381,0.00003274686,0.0001891986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1709877,"threshold_uncertainty_score":0.9998357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630018562717088,"score_gpt":0.2631051761093142,"score_spread":0.2068049904821433,"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."}}