{"id":"W4389301960","doi":"10.1101/2023.12.01.569654","title":"Functional network collapse in neurodegenerative disease","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Alzheimer's Association","keywords":"Primary progressive aphasia; Corticobasal degeneration; Frontotemporal dementia; Atrophy; Neuroscience; Posterior cortical atrophy; Semantic dementia; Dementia; Cognition; Psychology; Functional connectivity; Default mode network; Disease; Medicine; Pathology; Progressive supranuclear palsy","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":[0.0005605986,0.0001893334,0.0002238244,0.0009510085,0.0002769888,0.0003226995,0.0001573446,0.0002025218,0.0008906777],"category_scores_gemma":[0.002972525,0.0001576702,0.000158484,0.0006311505,0.0004890793,0.0004358239,0.0004224177,0.000287991,0.00007936431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804329,"about_ca_system_score_gemma":0.0001809249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539722,"about_ca_topic_score_gemma":0.00463322,"domain_scores_codex":[0.99983,0.00006777392,0.000008190479,0.00003823333,0.0000350064,0.00002068123],"domain_scores_gemma":[0.9994393,0.0002465571,0.0001448818,0.00005382969,0.00006630024,0.00004912564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001271539,0.0001454754,0.6344277,0.0003659597,0.000849954,0.001718301,0.003404931,0.03166976,0.1805626,0.01436177,0.002316082,0.1289059],"study_design_scores_gemma":[0.00001337857,0.0000968431,0.9540174,0.00002052812,0.00004398713,0.001380985,0.000260653,0.0237007,0.00343692,0.01620666,0.0008055207,0.000016468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992965,0.0004230777,0.005441761,0.0001191435,0.000003311594,0.00001315459,0.0002171167,0.00004021893,0.0007772167],"genre_scores_gemma":[0.9979468,0.0001190342,0.001500774,0.00001652496,0.000006017108,0.00001225088,0.0002613746,0.000007078103,0.000130125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002539722,"threshold_uncertainty_score":0.005049825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671191405841028,"score_gpt":0.2393275370403009,"score_spread":0.1926156229818907,"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."}}