{"id":"W2592672814","doi":"10.1016/j.neuroimage.2017.02.058","title":"Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer’s disease","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Montreal Neurological Institute and Hospital; McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; AbbVie Canada; National Institutes of Health; Eisai; University of California, San Diego; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; Northern California Institute for Research and Education; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; National Institute on Aging; Alzheimer's Association","keywords":"Neuroimaging; Cognition; Disease; Neuroscience; Population; Psychology; Causal model; Psychological intervention; Intervention (counseling); Modalities; Medicine; Psychiatry; 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":[0.0001020531,0.0001124658,0.000117102,0.00005217495,0.0003575732,0.00008402295,0.0002163431,0.00002468975,0.00001011323],"category_scores_gemma":[0.005692898,0.0001133716,0.00003556435,0.00007694936,0.0001351026,0.0002324106,0.0002186215,0.00007162484,0.00001821112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134382,"about_ca_system_score_gemma":0.00002116333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001925233,"about_ca_topic_score_gemma":0.00001087969,"domain_scores_codex":[0.9990326,0.0000669349,0.0001493084,0.0004265922,0.0002078908,0.000116667],"domain_scores_gemma":[0.9987015,0.0005425361,0.0001365032,0.0004567912,0.00007949582,0.0000832454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001832936,0.0001888477,0.008106714,0.00003091203,0.00001282169,0.000004408139,0.0002778916,0.0009293079,0.9718312,0.005562606,0.0008582848,0.0120137],"study_design_scores_gemma":[0.002147996,0.0003333726,0.5889789,0.00003552705,0.0001448705,0.000008491151,0.00002703465,0.1141859,0.2854062,0.005715032,0.00246,0.0005565717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549196,0.00004850503,0.029069,0.01391338,0.0007540329,0.0007494087,0.0001015714,0.0001047967,0.0003396494],"genre_scores_gemma":[0.9983765,0.000005746951,0.00008074452,0.001250001,0.0001308196,0.00002382533,0.000002731799,0.00002132511,0.0001083048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.686425,"threshold_uncertainty_score":0.6815342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07168583844432456,"score_gpt":0.3231321380009505,"score_spread":0.2514462995566259,"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."}}