MétaCan
Menu
Back to cohort

Thoracic radiography of pet macaques in Sulawesi, Indonesia

2008· article· en· W2140948000 on OpenAlex
Michael A. Schillaci, Lisa Jones‐Engel, John E. Heidrich, Rachel Benamore, André Pereira, Narinder Paul

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

VenueJournal of Medical Primatology · 2008
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversity Health NetworkThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsRadiographyMacaqueMedicineRadiologyLungIndonesianNuclear medicinePsychologyInternal medicineNeuroscience

Abstract

fetched live from OpenAlex

This report describes the results from a study of thoracic radiographs taken on a sample (n = 20) of pet macaque monkeys (Macaca) on the Indonesian island of Sulawesi. We present findings relating to general thoracic health, as well as describe our field methods and outline some of the challenges of conducting thoracic radiography in remote areas of the developing world. Examination of the radiographic images identified six possible cases of cardiac enlargement, and one case of minor lung consolidation possibly consistent with tuberculosis. The study did not identify major radiographic evidence of significant respiratory illness in the monkeys as might be expected based on the intense exposure to human respiratory diseases. These largely negative findings may be in part a consequence of image quality which seems to be influenced by power output and incomplete inspiration during film exposure.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.373
Teacher spread0.340 · 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