{"id":"W2413867752","doi":"10.1016/j.neuroimage.2016.05.053","title":"Domain adaptation for Alzheimer's disease diagnostics","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Fujirebio Europe; Eisai; National Institute on Aging; Commonwealth Scientific and Industrial Research Organisation; Northern California Institute for Research and Education; Takeda Pharmaceutical Company; Pfizer; BioClinica; Nvidia; National Center for Research Resources; F. Hoffmann-La Roche; Medpace; Genentech; Alexander von Humboldt-Stiftung; Biogen Idec; Massachusetts General Hospital; Synarc; Roche; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Research Foundation; Merck; Alzheimer's Drug Discovery Foundation; Alzheimer's Association; National Cancer Institute; Servier; Genentech Foundation; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Harvard NeuroDiscovery Center; Foundation for the National Institutes of Health","keywords":"Computer science; Overfitting; Weighting; Classifier (UML); Artificial intelligence; Machine learning; Generalizability theory; Domain adaptation; Adaptation (eye); Pattern recognition (psychology); Data mining; Artificial neural network; Medicine; Statistics","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":[0.002162942,0.0008725371,0.001209761,0.001447727,0.0003909818,0.0007921989,0.00124149,0.001460201,0.001070857],"category_scores_gemma":[0.004883004,0.0003620763,0.001107753,0.0008421323,0.0005205535,0.0009269794,0.001118513,0.0018009,0.0006810163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205552,"about_ca_system_score_gemma":0.00090937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004703564,"about_ca_topic_score_gemma":0.00440252,"domain_scores_codex":[0.9994598,0.0002305061,0.00003272179,0.0001535655,0.00007641215,0.00004701469],"domain_scores_gemma":[0.9987276,0.0007210233,0.00007036394,0.0001647119,0.000260299,0.00005595956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000552529,0.0004294675,0.004667685,0.0003684078,0.0005079666,0.0002324902,0.0001137317,0.2516041,0.01799076,0.003711991,0.01180552,0.7080153],"study_design_scores_gemma":[0.00002057371,0.00008303636,0.002137083,0.00002981334,0.00007884461,0.0002323528,0.00003998002,0.9767463,0.006497315,0.01227372,0.00183825,0.00002271452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04077206,0.004721497,0.9505716,0.0005514091,0.0001440109,0.00007509226,0.0003526702,0.001904416,0.0009073396],"genre_scores_gemma":[0.6640838,0.002897169,0.325145,0.0007171498,0.0002414348,0.0001886933,0.002063876,0.0003528108,0.00430999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004703564,"threshold_uncertainty_score":0.01143891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434282300726376,"score_gpt":0.2709108850951128,"score_spread":0.226568062087849,"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."}}