{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001697066,0.0001080257,0.00008490455,0.00006535075,0.0001297951,0.0001145364,0.0003793091,0.00002258366,0.00001843018],"category_scores_gemma":[0.0003445263,0.00008243218,0.00006781152,0.0001309449,0.00004213587,0.0004780706,0.00007639458,0.00004692201,0.0001484678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301871,"about_ca_system_score_gemma":0.00005564882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001318266,"about_ca_topic_score_gemma":0.000001279087,"domain_scores_codex":[0.9989901,0.00007331397,0.0001611181,0.0003396166,0.0001991967,0.0002367103],"domain_scores_gemma":[0.998675,0.0006252253,0.00007871108,0.0003717002,0.00007397271,0.000175331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009397406,0.0001623221,0.002221121,0.00001828627,0.00002890297,0.0001301046,0.0009867577,0.0002978497,0.006659332,0.4984362,0.009966448,0.4809988],"study_design_scores_gemma":[0.003148466,0.000314227,0.1290979,0.00006838421,0.00005350767,0.00001098814,0.00007099091,0.06544601,0.0009983798,0.05372177,0.7463666,0.0007028445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002777413,0.0001431184,0.990517,0.004727965,0.000405527,0.0002553293,0.00001285116,0.000206034,0.0009547555],"genre_scores_gemma":[0.8217015,0.00009267087,0.1744876,0.002622266,0.0002073159,0.0001109274,0.000008301623,0.00003564534,0.0007337005],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8189241,"threshold_uncertainty_score":0.3361487,"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."}}