{"id":"W1964533996","doi":"10.1371/journal.pone.0124453","title":"Directed Network Motifs in Alzheimer’s Disease and Mild Cognitive Impairment","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Novartis Pharmaceuticals Corporation; BioClinica; Synarc; Bayer HealthCare; Meso Scale Diagnostics; Eli Lilly and Company; Bristol-Myers Squibb; AstraZeneca; Alzheimer's Drug Discovery Foundation; Amorfix Life Sciences; F. Hoffmann-La Roche; Medpace; Biogen","keywords":"Cognitive impairment; Alzheimer's disease; Disease; Medicine; Neuroscience; Gerontology; Bioinformatics; Biology; Internal medicine","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":[0.0003473976,0.0001940475,0.0002190676,0.001477709,0.0001731496,0.0003398675,0.0001990639,0.0003112725,0.0006102942],"category_scores_gemma":[0.002766705,0.0001172442,0.0001354449,0.0007428919,0.0004398167,0.0005595301,0.0003336685,0.000212969,0.00004920913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104577,"about_ca_system_score_gemma":0.0001751903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967481,"about_ca_topic_score_gemma":0.002835671,"domain_scores_codex":[0.9998574,0.0000494278,0.00001178438,0.00003514156,0.00002982887,0.00001634406],"domain_scores_gemma":[0.9989426,0.0004477295,0.0003802597,0.00006193424,0.00007211104,0.00009537085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002079342,0.0002588411,0.6090192,0.0007989689,0.0007081801,0.003332353,0.002194507,0.06810067,0.08284065,0.0472373,0.001873151,0.1815569],"study_design_scores_gemma":[0.00003526509,0.0003048316,0.7462047,0.0001149881,0.0001375667,0.004301417,0.0006532662,0.1138531,0.007946004,0.1230105,0.003361679,0.00007672647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850509,0.001058416,0.01200632,0.0001047997,0.000006272226,0.00001550384,0.000310764,0.00003820296,0.001408923],"genre_scores_gemma":[0.9968542,0.0001989398,0.002589582,0.00001756249,0.00000944607,0.00001036553,0.0001408926,0.000003404294,0.000175651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001967481,"threshold_uncertainty_score":0.003912091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405676168023197,"score_gpt":0.2733970154336416,"score_spread":0.1328293986313218,"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."}}