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Record W3087183772

Active Brains: Protocol for a Feasibility Randomised Control Trial of a Digital Intervention to Reduce Cognitive Decline in Older Adults

2020· article· en· W3087183772 on OpenAlexvenueno aff
Kirsten A. Smith, Katherine Bradbury, Rosie Essery, Sebastien Pollet, Fiona Mowbray, Joanna Slodkowska‐Barabasz, James Denison‐Day, Victoria Hayter, Jo Kelly, Jane Somerville, Jin Zhang, Elisabeth Grey, Max J. Western, Anne Ferrey, Adele Krusche, Beth Stuart, Nanette Mutrie, Siân Robinson, Guiqing Yao, Gareth Griffiths, Louise Robinson, Martin N. Rossor, John Gallacher, Simon J. Griffin, Tony Kendrick, Shanaya Rathod, Bernard Gudgin, Rosemary Phillips, Tom Stokes, John Niven, Paul Little, Lucy Yardley

Bibliographic record

VenueJMIR Research Protocols · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)CognitionRandomized controlled trialProtocol (science)Cognitive InterventionMedicineCognitive declineGerontologyPhysical therapyDementiaPhysical medicine and rehabilitationPsychologyAlternative medicinePsychiatryDisease
DOInot available

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)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.087
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.002
Science and technology studies0.0040.004
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0870.011

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 head0.402
GPT teacher head0.619
Teacher spread0.217 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations1
Published2020
Admission routes1
Has abstractno

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