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Letter to the Editor Regarding “Assessing Methods for Replacement of Soiled Bedding Sentinels in Cage-level Exhaust IVC Racks” by Eichner and Smith

2024· letter· en· W4391392510 on OpenAlexafffund
Chris Manuel, Kerith R Luchins, Norman Peterson, Aurore Dodelet-Devillers, Christina Pettan-Brewer, Lise Phaneuf, Joseph P. Garner, Megan R. LaFollette

Bibliographic record

VenueJournal of the American Association for Laboratory Animal Science · 2024
Typeletter
Languageen
FieldEngineering
TopicAdvanced Sensor Technologies Research
Canadian institutionsToronto Centre for PhenogenomicsMcGill University Health Centre
FundersNational Centre for the Replacement Refinement and Reduction of Animals in ResearchSeagenMcGill UniversityUniversity of WashingtonMcGill University Health CentreUniversity of Chicago
KeywordsCageMedicineForensic engineeringAeronauticsEngineeringStructural engineering

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.004
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.035
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0350.022
Insufficient payload (model declined to judge)0.0050.007

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 head0.022
GPT teacher head0.361
Teacher spread0.339 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2024
Admission routes2
Has abstractyes

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