{"id":"W2966095247","doi":"10.1016/j.dadm.2019.04.010","title":"European Ultrahigh‐Field Imaging Network for Neurodegenerative Diseases (EUFIND)","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"Medical Research Council; Aix-Marseille Université; Horizon 2020 Framework Programme; Novo Nordisk Fonden; EU Joint Programme – Neurodegenerative Disease Research; Lundbeckfonden; Bundesministerium für Bildung und Forschung; Wellcome Trust; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Medicine; Neuroscience; Field (mathematics); Psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000169264,0.000381152,0.0003744747,0.00008674849,0.0003411893,0.0001276815,0.0002473548,0.00003481311,0.0001438975],"category_scores_gemma":[0.00003452538,0.0003765769,0.000319096,0.0002320432,0.00003868805,0.0003129981,0.00015015,0.0002064765,0.00003787141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004348973,"about_ca_system_score_gemma":0.0001029008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490597,"about_ca_topic_score_gemma":5.5448e-7,"domain_scores_codex":[0.9976718,0.00008366555,0.0004638763,0.0007842932,0.0003823343,0.0006139704],"domain_scores_gemma":[0.9980721,0.0003195697,0.0002111312,0.0007258774,0.0001742617,0.0004970134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007956177,0.000551794,0.9585562,0.00003942248,0.0007560443,0.0000279973,0.00001949236,0.001248862,0.0008251747,0.001412452,0.008111048,0.02837197],"study_design_scores_gemma":[0.001920686,0.0003346839,0.9226037,0.0005143543,0.01188253,0.000002795489,0.0001157611,0.0023169,0.01389152,0.0008996715,0.04469784,0.0008195958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5717568,0.1270844,0.2516641,0.0150943,0.00612458,0.0186673,0.0007703059,0.002888704,0.005949566],"genre_scores_gemma":[0.9621012,0.0008644594,0.03180739,0.0008881855,0.001527352,0.00239735,0.0002605036,0.0001199008,0.00003369533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3903444,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262606898107231,"score_gpt":0.3405421796610271,"score_spread":0.3179161106799547,"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."}}