{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003508858,0.0002390903,0.0003401724,0.0001764835,0.00005577769,0.00002662798,0.0004146054,0.00008807361,0.0001825703],"category_scores_gemma":[0.0007901675,0.0001640701,0.0007278626,0.0001106125,0.0002019242,0.00002736499,0.0001101173,0.0000573541,0.00000311811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108765,"about_ca_system_score_gemma":0.0003482535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004978302,"about_ca_topic_score_gemma":0.000001557969,"domain_scores_codex":[0.9983968,0.00009378596,0.0006288054,0.000296363,0.0003131377,0.0002710909],"domain_scores_gemma":[0.9977089,0.0000826825,0.0006268607,0.0004893454,0.0005234932,0.0005687845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003889615,0.0004172509,0.0126257,0.00004248045,0.005735539,0.00007524576,0.00001820671,0.00001064992,0.7667251,0.0001845439,0.1719412,0.03833448],"study_design_scores_gemma":[0.002127557,0.0007246069,0.03417694,0.0001218934,0.005475943,0.00001754562,0.00003209086,0.00004797589,0.9150293,0.004207776,0.0375373,0.0005010676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972126,0.08657465,0.006788331,0.007646764,0.0002156416,0.0008647383,0.000471643,0.0000356907,0.0001900047],"genre_scores_gemma":[0.997049,0.0004288608,0.001453057,0.0005816836,0.0003146465,0.00001508098,0.00005583919,0.0000407324,0.00006113642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1483042,"threshold_uncertainty_score":0.6690583,"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."}}