{"id":"W3120237595","doi":"10.1007/s00330-020-07455-8","title":"Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; UK Dementia Research Institute; IXICO; H. Lundbeck A/S; Servier; Eisai; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Genentech; University of Oxford; University of Southern California; Wellcome Trust; University College London; Avid Radiopharmaceuticals; Guarantors of Brain; Wolfson Foundation; Brain Research Trust; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Medical Research Council; Meso Scale Diagnostics; Teva Pharmaceutical Industries; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; National Institutes of Health; Rosetrees Trust; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuroradiology; Medicine; Inter-rater reliability; Dementia; Cronbach's alpha; Frontotemporal dementia; Gold standard (test); Diagnostic accuracy; Radiology; Population; Normative; Percentile; Nuclear medicine; Neurology; Audiology; Psychology; Disease; Psychometrics; Internal medicine; Psychiatry; Clinical psychology; Developmental psychology; Rating scale","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00275707,0.0001972852,0.0005265014,0.000241625,0.00006129935,0.00003827182,0.0001102942,0.00006516695,0.0006156562],"category_scores_gemma":[0.009933093,0.0001806463,0.0001270999,0.0004059432,0.0001567027,0.0001277993,0.0002136707,0.0004718247,0.0004191528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005789821,"about_ca_system_score_gemma":0.000239957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028028,"about_ca_topic_score_gemma":0.00006298924,"domain_scores_codex":[0.9941396,0.003347491,0.001106643,0.0007289741,0.0002473089,0.0004300548],"domain_scores_gemma":[0.9976721,0.001189342,0.0002329611,0.0004025177,0.000327202,0.0001758727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002483755,0.002602367,0.9434409,0.00003189428,0.000461763,0.04424243,0.0009684107,0.000007453941,0.0005965335,0.000006722047,0.003113434,0.004279696],"study_design_scores_gemma":[0.004109974,0.002982171,0.9857026,0.00007791653,0.0002203958,0.0009899363,0.001699623,0.00306297,0.0001198761,0.000007262691,0.0008701613,0.0001571382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992003,0.0004062942,0.002718757,0.0003098049,0.0005716811,0.0009478547,0.000004761725,0.0001782668,0.002859585],"genre_scores_gemma":[0.996465,0.0001734314,0.00168683,0.0006254222,0.00008052868,0.00004442756,0.0002181269,0.00003945087,0.0006668393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04325249,"threshold_uncertainty_score":0.9984066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0508719494299248,"score_gpt":0.422096938968211,"score_spread":0.3712249895382862,"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."}}