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Neuroinflammation in Alzheimer disease
Wiesje M. van der Flier, Frank Jessen, Jeroen Hoozemanns, Dietmar Rudolf Thal, Delphine Boche, Frederic Brosseron, Charlotte E. Teunissen, Henrik Zetterberg, Andreas H. Jacobs, Paul Edison, Alfredo Ramı́rez, Carlos Cruchaga, Jean‐Charles Lambert, Agustı́n Ruiz, José V. Sánchez‐Mut, André Fischer, Sergio Castro‐Gomez, Thor D. Stein, Luca Kleineidam, Michael Wagner, Jonas J. Neher, Colm Cunningham, Sim K. Singhrao, Marco Prinz, Christopher K. Glass, Johannes C. M. Schlachetzki, Oleg Butovsky, Kilian Kleemann, Philip L. De Jager, Hannah Scheiblich, Guy C. Brown, Gary E. Landreth, Miguel Moutinho, Jaime Grutzendler, Diego Gómez‐Nicola, Róisín M. McManus, Katrin I. Andreasson, Christina Ising, Deniz Karabag, Darren J. Baker, Shane A. Liddelow, Alexei Verkhratsky, Malú G. Tansey, Alon Monsonego, Ludwig Aigner, Guillaume Dorothée, Klaus‐Armin Nave, Mikael Simons, Gabriela Constantin, Neta Rosenzweig, Alberto Pascual, Gabor C. Petzold, Jonathan Kipnis, Carmen Venegas, Marco Colonna, Jochen Walter, Andrea J. Tenner, M. Kerry O’Banion, Joern R. Steinert, Douglas L. Feinstein, Magdalena Sastre, Kiran Bhaskar, Soyon Hong, Dorothy P. Schafer, Todd E. Golde, Richard M. Ransohoff, David Morgan, John C.S. Breitner, Renzo Mancuso, Sean‐Patrick Riechers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
Bibliographic record
VenueNature reviews. Immunology · 2024
Typereview
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMcGill University
FundersNational Institute of Environmental Health SciencesNational Institute of Neurological Disorders and StrokeNational Institute on AgingAgencia Estatal de InvestigaciónWu Tsai Neurosciences Institute, Stanford UniversityAvid RadiopharmaceuticalsNational Institutes of HealthEuropean Brain CouncilUK Dementia Research InstituteVlaamse regeringStichting DioraphteBrightFocus FoundationEli Lilly and CompanyHersenstichtingAmsterdam NeuroscienceFondation Pierre Deniker pour la Recherche et la Prévention en Santé MentaleNovo NordiskVetenskapsrådetFONDATION ALZHEIMEREisaiNuclear Safety and Security CommissionDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekFondation pour la Recherche MédicaleAlzheimer's AssociationIrish Research CouncilZonMwFondation LeducqBiogenAgence Nationale de la RechercheAustrian Science FundU.S. Department of Veterans AffairsApellis PharmaceuticalsGIESKES-STRIJBIS FONDSAlzheimer's SocietyRoche NederlandHealth~HollandFonds Wetenschappelijk OnderzoekProthenaAssociation France AlzheimerFondation Vaincre AlzheimerPfizerEU Joint Programme – Neurodegenerative Disease ResearchChan Zuckerberg InitiativeAlzheimer Forschung InitiativeAlnylam PharmaceuticalsEuropean CommissionDanoneUniversiteit AntwerpenDr. Miriam and Sheldon G. Adelson Medical Research FoundationAlzheimer NederlandHORIZON EUROPE Framework ProgrammeOno PharmaceuticalMedical Research CouncilSiemens HealthineersGlenn Foundation for Medical ResearchSanofiNational Aeronautics and Space Administration
KeywordsNeuroinflammationDiseaseAlzheimer's diseaseNeuroscienceMedicinePsychologyPathology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.007 |
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 head0.089
GPT teacher head0.381
Teacher spread0.291 · 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 itQuick stats
Citations414
Published2024
Admission routes1
Has abstractno