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Record W4320483805 · doi:10.1007/s11357-023-00734-4

Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults

2023· article· en· W4320483805 on OpenAlexafffund
Brittany Intzandt, Safa Sanami, Julia Huck, Anne Labonté, Alexa Pichet Binette, Axel Mathieu, Cynthia Picard, Doris Dea, A. Claudio Cuello, Alan C. Evans, Christine Tardif, Gerhard Mulhaup, Jamie Near, Jeannie‐Marie Leoutsakos, John C. S. Bretiner, Judes Poirier, Lisa-Marie Münterm, D. Louis Collins, M. Mallar Chakravarty, Natasha Rajah, Pedro Rosa‐Neto, Pierre Bellec, Pierre Étienne, Pierre Orban, Rick Hoge, Serge Gauthier, Sylvia Villeneueve, Véronique D. Bohbot, Vladimir Fonov, Yasser Ituria‐Medina, Holly Newbold‐Fox, Jacob W. Vogel, Jennifer Tremblay‐Mercier, Justin Kat, Justin Miron, Masha Dadar, Marie‐Élyse Lafaille‐Magnan, Pierre‐François Meyer, Samir Das, Julie Gonneaud, Gülebru Ayrancı, Tharick A. Pascoal, Sander C.J. Verfaillie, Sarah Farzin, Alyssa Salaciak, Stéphanie Tullo, Étienne Vachon‐Presseau, Leslie-Ann Daous, Theresa Köbe, Melissa McSweeney, Nathalie Nilsson, Morteza Pishnamazi, Chirstophe Bedetti, Louise Hudon, Claudia Greco, Frédéric St‐Onge, Sophie Boutin, Maiya R. Geddes, Simon Ducharme, Gabriel Jean, Elisabeth Sylvain, Marie-Josée Élise, Gloria Leblond‐Baccichet, Julie Bailly, Béry Mohammediyan, Jordana Remz, Jean‐Paul Soucy, Sylvia Villeneuve, Louis Bherer, Claudine Gauthier

Bibliographic record

VenueGeroScience · 2023
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversité de MontréalMontreal Neurological Institute and HospitalMcGill UniversityDouglas Mental Health University InstituteConcordia UniversityInstitut Universitaire de Gériatrie de MontréalMontreal Heart Institute
FundersInstitute of Neurosciences, Mental Health and AddictionPfizer CanadaFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchInstitut de recherche en santé mentaleGovernment of CanadaInstitut de Cardiologie de MontréalHeart and Stroke Foundation of CanadaPfizerFondation Jean-Louis LévesqueMcGill UniversityAlzheimer's Association
KeywordsBody mass indexObesityWhite matterMagnetic resonance imagingDemographyMedicinePsychologyInternal medicine

Abstract

fetched live from OpenAlex
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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.280
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations13
Published2023
Admission routes2
Has abstractno

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