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Faculty Opinions recommendation of Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.
Benedict Michael, Mark Ellul
Bibliographic record
VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2019
Typedataset
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersStudent Research Committee, Tabriz University of Medical SciencesInstituto de Salud Carlos IIIInstitute for Physical Activity and NutritionUniversity of California, IrvineMedical School, University of MichiganNational Institutes of HealthCochrane South AfricaMaurice Wilkins Centre for Molecular BiodiscoveryHáskólinn í ReykjavíkKurdistan University Of Medical SciencesLorestan University of Medical SciencesAlexandria UniversityMansoura UniversityInternational Centre for Diarrhoeal Disease Research, BangladeshLee Kong Chian School of Medicine, Nanyang Technological UniversityThe Wellcome Trust DBT India AllianceUniversità degli Studi di MessinaNanjing UniversityAddis Ababa UniversityFujita Health UniversityUniversity of GondarIlam UniversityNational Institute of Neurological Disorders and StrokeUniversitatea de Medicină şi Farmacie "Carol Davila" BucureştiUniversity of South AfricaUniversity of the PhilippinesNational Research University Higher School of EconomicsUniversity of Cape TownHospital for Sick ChildrenRijksuniversiteit GroningenWuhan UniversityHögskolan DalarnaAustralian National UniversityUniversitair Medisch Centrum GroningenQazvin University of Medical SciencesDirectorate for Biological SciencesGöteborgs UniversitetTechnische Universität MünchenUniwersytet ŁódzkiUniversidade de São PauloCharotar University of Science and TechnologyTaipei Medical UniversityUniversiti Sains MalaysiaUniversiti Kebangsaan MalaysiaPublic Health AgencyMinistério da EducaçãoKuwait UniversityKing Khalid UniversitySan Diego State UniversityIsfahan University of Medical SciencesIlam University of Medical SciencesDezful University of Medical SciencesFudan UniversityIslamic Azad UniversityBiomedical Research CouncilUniversitätsklinikum HeidelbergMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaKing Saud UniversityAin Shams UniversityMinisterio de Economía y CompetitividadBundesministerium für Bildung und ForschungNational Center of Neurology and PsychiatryAlexander von Humboldt-StiftungMashhad University of Medical SciencesUniversity of HullPublic Health EnglandNational Health and Medical Research CouncilAcademia SinicaNational Natural Science Foundation of ChinaUniversidad de Costa RicaDeakin UniversityUniversity of New South WalesXiamen UniversityUniversity of PennsylvaniaUniversité de BourgogneUniversity of DhakaCancer Society of New ZealandBrien Holden Vision InstituteImperial College LondonKing's College LondonUniversidade Federal de Santa CatarinaSanjay Gandhi Postgraduate Institute of Medical SciencesUniversity of TorontoGeneralitat ValencianaU.S. Department of DefenseLa Trobe UniversityNational University of SingaporeNational Institute for Health and Care ResearchGolestan University of Medical SciencesNational Research FoundationEuropean CommissionAhmadu Bello UniversityInstitute of Biomedical Sciences, Academia SinicaUniversitas Negeri SemarangUniversität UlmLoma Linda UniversityUniversity of EmbuFundação para a Ciência e a TecnologiaAksum UniversityAustralian GovernmentWellcome TrustTrường Đại học Duy TânIran University of Medical SciencesUniversity Of Nigeria NsukkaUniversità di BolognaMinistério da Educação e CiênciaBirmingham City UniversityUniversitat de ValènciaUniwersytet Jagielloński Collegium MedicumUniversity College LondonKermanshah University of Medical SciencesPublic Health Agency of CanadaJazan UniversityKyung Hee UniversityBabol University of Medical SciencesYork UniversityHarvard UniversityJimma UniversityDeutsches KrebsforschungszentrumBundesministerium für GesundheitNanyang Technological UniversityUniversity of OtagoDepartment of Biotechnology, Ministry of Science and Technology, IndiaCase Western Reserve UniversityDanmarks GrundforskningsfondHamad Medical CorporationCentro de Investigación Biomédica en Red de Salud MentalHigh Blood Pressure Research Council of AustraliaUniversity of Technology SydneyMedical Research CouncilDurban University of TechnologyAlborz University of Medical SciencesNorthwestern UniversityUniversity of OxfordMcMaster UniversityKarolinska InstitutetYale UniversityBournemouth UniversityBill and Melinda Gates FoundationWestern Sydney UniversityUniversity of Auckland
KeywordsMedicineYears of potential life lostDiseaseDisease burdenIncidence (geometry)Burden of diseasePediatricsComorbidityMigrainePopulationPsychiatryEnvironmental healthLife expectancyPathology
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.118
Threshold uncertainty score0.989
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.041
GPT teacher head0.373
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations18
Published2019
Admission routes1
Has abstractyes