{"id":"W2314151980","doi":"10.1038/srep22161","title":"Multimodal Image Analysis in Alzheimer’s Disease via Statistical Modelling of Non-local Intensity Correlations","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Information and Communication Technologies; Engineering and Physical Sciences Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; University of Southern California; University College London; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University College London Hospitals NHS Foundation Trust; Eli Lilly and Company; U.S. Department of Defense; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Atrophy; Magnetic resonance imaging; Positron emission tomography; Alzheimer's Disease Neuroimaging Initiative; Neuroimaging; Cerebral atrophy; Posterior cortical atrophy; Partial least squares regression; Fluorodeoxyglucose; Pathology; Disease; Artificial intelligence; Alzheimer's disease; Neuroscience; Computer science; Pattern recognition (psychology); Medicine; Psychology; Dementia; Radiology; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0003241631,0.00009069778,0.0002474917,0.0002928875,0.00007724865,0.0000128615,0.00005144481,0.0000278978,0.0000590988],"category_scores_gemma":[0.0001080141,0.00006665596,0.000104561,0.0007177105,0.0004774794,0.0001006104,0.0000514382,0.00008853253,0.000007014512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003906346,"about_ca_system_score_gemma":0.00008697451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000640549,"about_ca_topic_score_gemma":0.000007458816,"domain_scores_codex":[0.9985613,0.00001339655,0.0004704641,0.0005132676,0.0002683314,0.0001732837],"domain_scores_gemma":[0.998638,0.00006425371,0.000166918,0.0007200319,0.0002352619,0.0001755856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004355249,0.002210306,0.7486424,0.00007817465,0.0004366352,0.003231435,0.0003874266,0.04458332,0.1395023,0.001625039,0.006047777,0.05281956],"study_design_scores_gemma":[0.0002713297,0.0000238453,0.1063004,0.00008230563,0.0008168883,0.00005807859,0.00001660238,0.8641582,0.008217285,0.01949424,0.00039726,0.0001635842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1249163,0.00001730916,0.8741356,0.0003467305,0.0001490057,0.0002676171,0.00001932896,0.00004754688,0.0001006116],"genre_scores_gemma":[0.9335102,0.000002845004,0.06622231,0.00001690196,0.00001028851,0.00002295953,0.000069077,0.0000092477,0.0001361192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195748,"threshold_uncertainty_score":0.2718151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819272015918527,"score_gpt":0.348394349798752,"score_spread":0.2902016296395667,"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."}}