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Record W2803034779

Sea Hero Quest: The World’s first mobile game where anyone can help scientists fight dementia

2016· article· en· W2803034779 on OpenAlex

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

VenueLancaster EPrints (Lancaster University) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsMcGill University
Fundersnot available
KeywordsHEROAdventureDementiaGeneral partnershipAgency (philosophy)Face (sociological concept)Political sciencePublic relationsSociologyMedicineComputer scienceLawSocial scienceDiseaseArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Dementia is a growing health threat. Affecting over 47M people worldwide (135M by 2050), it is becoming one of the greatest medical challenges we face globally. To help scientists working towards finding a cure, we created Sea Hero Quest – a mobile game where anyone can help fight dementia. Sea Hero Quest is a multi-platform adventure game designed specifically to help advance the understanding of spatial navigation, and therefore understand one of the first symptoms of dementia. Sea Hero Quest was developed in partnership with a number of world-leading dementia scientists, spatial navigation consultants and data security specialists (UCL, Cambridge, UEA, Alzheimer’s Research UK, Deutsche Telekom) and global communications agency Saatchi & Saatchi.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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