{"id":"W4284896909","doi":"10.1016/j.nicl.2022.103106","title":"The Open-Access European Prevention of Alzheimer’s Dementia (EPAD) MRI dataset and processing workflow","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UCLH Biomedical Research Centre; Horizon 2020; Medical Research Council; University College London Hospitals Biomedical Research Centre; Innovative Medicines Initiative; Hartstichting; Alzheimer’s Research UK; ZonMw; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nano-Convergence Foundation; Fondation Leducq; HORIZON EUROPE Framework Programme; Wellcome Trust; Alzheimer's Society; Rijksdienst voor Ondernemend Nederland; Velux Stiftung; National Institute for Health and Care Research; Alzheimer Society; Alzheimer Nederland; EU Joint Programme – Neurodegenerative Disease Research; UK Dementia Research Institute; Velux Fonden; University College London","keywords":"Computer science; Artificial intelligence; Neuroimaging; Fluid-attenuated inversion recovery; Pattern recognition (psychology); Pipeline (software); Magnetic resonance imaging; Medicine; Radiology; Psychiatry","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00384781,0.001440689,0.001232553,0.002081451,0.000711023,0.001888023,0.002658593,0.001375943,0.01342096],"category_scores_gemma":[0.008184488,0.0006036878,0.001316026,0.001441145,0.0003818789,0.0007928869,0.002348578,0.001225017,0.01600946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000993839,"about_ca_system_score_gemma":0.002510242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118145,"about_ca_topic_score_gemma":0.01671223,"domain_scores_codex":[0.998576,0.0002668299,0.0002467029,0.0005094891,0.0002811574,0.0001197839],"domain_scores_gemma":[0.99808,0.0003667545,0.0001673271,0.0005760575,0.0006264761,0.0001835116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003053991,0.0004986456,0.02183582,0.002196586,0.0005721569,0.001128764,0.0006255077,0.004638188,0.01328725,0.004107655,0.8349367,0.1131187],"study_design_scores_gemma":[0.002357294,0.0005504785,0.06172808,0.0009582258,0.0004481327,0.002480061,0.0005450151,0.02355606,0.01749188,0.01883089,0.8706756,0.00037843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01687343,0.0009114439,0.04153983,0.0008522558,0.0001892543,0.00180507,0.9140542,0.01940111,0.004373438],"genre_scores_gemma":[0.01617969,0.0002885665,0.04905999,0.0003601019,0.00005984855,0.003102266,0.9283238,0.001135899,0.00148971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9973414,"threshold_uncertainty_score":0.04489762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.335894396621553,"score_gpt":0.5270368599658383,"score_spread":0.1911424633442853,"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."}}