{"id":"W2381479069","doi":"10.1007/s40708-016-0052-4","title":"Two-dimensional enrichment analysis for mining high-level imaging genetic associations","year":2016,"lang":"en","type":"article","venue":"Brain Informatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; School of Medicine, Indiana University; Perelman School of Medicine, University of Pennsylvania; Genentech; Directorate for Computer and Information Science and Engineering; Directorate for Biological Sciences; National Institutes of Health; U.S. National Library of Medicine; IXICO; University of Massachusetts Amherst; H. Lundbeck A/S; Servier; Eisai; University of California, San Diego; Strong; Scheme for Promotion of Academic and Research Collaboration; Novartis Pharmaceuticals Corporation; National Collegiate Athletic Association; National Institute of Environmental Health Sciences; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; National Center for Research Resources; F. Hoffmann-La Roche; University of Pennsylvania; Florida State University; University of Southern California; Dartmouth College; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Foundation for the National Institutes of Health; Shanghai Jiao Tong University; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Association; National Science Foundation","keywords":"Computational biology; Chemistry; Biology","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":[0.0002093277,0.0001072497,0.0001188811,0.0001202368,0.0001187382,0.00002868965,0.0001301052,0.00005519498,0.00002941659],"category_scores_gemma":[0.0001815386,0.00008159767,0.0001183656,0.0001714126,0.00002701176,0.000009425728,0.00006080783,0.00002119418,0.000009741887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004183386,"about_ca_system_score_gemma":0.00008264394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004037895,"about_ca_topic_score_gemma":0.000008063968,"domain_scores_codex":[0.9991304,0.00002382317,0.0003573559,0.000129511,0.0001642486,0.0001946781],"domain_scores_gemma":[0.9992303,0.0000671208,0.0002215432,0.0002681298,0.0001449773,0.00006787527],"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":[0.00008333303,0.0001392003,0.05935654,0.00004470329,0.00114058,5.361255e-7,0.0008571789,0.01223573,0.6718761,0.001563627,0.1868958,0.06580669],"study_design_scores_gemma":[0.01187942,0.000422785,0.4699237,0.0001262297,0.001150497,0.00001730744,0.002115709,0.04113209,0.2263322,0.001969952,0.2428322,0.002098023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5258427,0.000108051,0.4703215,0.002167902,0.0003275886,0.0003016116,0.000264588,0.0000265825,0.0006395446],"genre_scores_gemma":[0.9606333,0.00001057201,0.03561689,0.001393008,0.000137038,0.00005411418,0.0003247536,0.00001155676,0.00181872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4455439,"threshold_uncertainty_score":0.3327456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895643635140914,"score_gpt":0.2765500099952856,"score_spread":0.2575935736438764,"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."}}