{"id":"W2557438944","doi":"10.3233/jad-160900","title":"Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease","year":2016,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; National Institute on Aging; Stanford Bio-X; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Foundation for the National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Science Foundation","keywords":"Disease; Neuroscience; Alzheimer's disease; Medicine; Psychology; Pathology","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":[0.0009198954,0.000475005,0.0007956647,0.003304914,0.0003254349,0.001201292,0.0007506737,0.0007026959,0.0007438906],"category_scores_gemma":[0.001900475,0.0002651463,0.001110192,0.001707176,0.0005907577,0.0007225385,0.0007781405,0.0006839953,0.000600804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639147,"about_ca_system_score_gemma":0.000704063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287701,"about_ca_topic_score_gemma":0.004304374,"domain_scores_codex":[0.9994667,0.0001054239,0.00003514706,0.0001354322,0.0001992258,0.00005803681],"domain_scores_gemma":[0.9990723,0.000222699,0.0001994296,0.0001808739,0.000243401,0.00008129963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004711123,0.0003396386,0.124759,0.0002071697,0.0002797591,0.0003786663,0.0003098237,0.05030819,0.08401052,0.008805604,0.004391924,0.7257385],"study_design_scores_gemma":[0.00003898559,0.0003088981,0.1564588,0.00007387956,0.0001407507,0.001893239,0.0002812287,0.7659501,0.03530592,0.03076467,0.008639736,0.0001438278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3000362,0.001909573,0.6900905,0.000366228,0.00005326546,0.0002042207,0.00255776,0.001928831,0.00285346],"genre_scores_gemma":[0.7300571,0.0006691337,0.2650307,0.0001006121,0.00006162424,0.0001100521,0.002652461,0.0001298503,0.001188497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003304914,"threshold_uncertainty_score":0.005720496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847885351194033,"score_gpt":0.3040608446513128,"score_spread":0.2855819911393724,"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."}}