{"id":"W1983537704","doi":"10.1523/jneurosci.0141-08.2008","title":"Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":995,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"U.S. Public Health Service; Canadian Institutes of Health Research; Killam Trusts","keywords":"Neuroscience; Cortex (anatomy); Posterior parietal cortex; Centrality; Cerebral cortex; Psychology; Cognition; Alzheimer's disease; Disease; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002485521,0.0001652875,0.0003468376,0.000188738,0.0002985394,0.00002012601,0.0004989707,0.00004769924,0.00001355082],"category_scores_gemma":[0.005049838,0.00012082,0.0001396612,0.0005293809,0.0006333962,0.0004622368,0.0002074144,0.0005112361,0.000001537653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003966009,"about_ca_system_score_gemma":0.0001127856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000934123,"about_ca_topic_score_gemma":0.00001969854,"domain_scores_codex":[0.9977143,0.0002917363,0.000583353,0.0003879892,0.0006717957,0.0003508609],"domain_scores_gemma":[0.9976481,0.001524615,0.0003301242,0.0002016472,0.00009899568,0.000196543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00092156,0.001070093,0.5684264,0.00002443577,0.00001069299,0.003624212,0.0025907,0.02239615,0.3977411,0.002041554,0.0005952364,0.000557914],"study_design_scores_gemma":[0.00065002,0.0004820864,0.9707329,0.00003508777,0.00001635676,0.0004238372,0.00007652837,0.01839815,0.00814411,0.0005348366,0.0003488441,0.0001572521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958148,0.0003108995,0.0009836159,0.001374315,0.001360871,0.0001070522,0.000004444229,0.00001155778,0.00003243375],"genre_scores_gemma":[0.9974423,0.0001890171,0.00005531227,0.002185962,0.0001009321,0.000002314486,1.293293e-7,0.00000831503,0.00001571287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4023065,"threshold_uncertainty_score":0.6045493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05691897048117017,"score_gpt":0.2944841215556098,"score_spread":0.2375651510744396,"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."}}