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Record W4386050167 · doi:10.26434/chemrxiv-2023-8z9gp

High throughput mass spectrometry assay for early chick gender determination: less than 3s total analysis time per sample.

2023· preprint· en· W4386050167 on OpenAlexaff
Nicolas Drouin, Chang Liu, David M. Cox, J. Bryce Young, Serge Desmoulins, Kelly Hoogkamer, Leonard van Bommel, Farzana Azam, James Wighton, Thomas R. Covey, Wouter Bruins, Wil Stutterheim, Amy C. Harms, Thomas Hankemeier

Bibliographic record

VenueChemRxiv · 2023
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPharmacological Effects and Assays
Canadian institutionsSciex (Canada)
FundersHORIZON EUROPE European Innovation CouncilInterregInterreg North-West Europe
KeywordsThroughputSample (material)CullingMass spectrometryChromatographyChemistryBiologyComputational biologyAnimal scienceComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Chicken eggs are one of the most consumed foods around the world. However, male chickens from egg-producing species are considered unprofitable as they produce too little meat and no eggs. For this reason, day-old male chicks are discarded, lead-ing to animal welfare concerns. As an alternative for chick culling, we have recently reported 3-[(2-aminoethyl)sulfanyl]butanoic acid (ASBA) as a biomarker for early in ovo gender determination. In the present work, we describe the optimization of acoustic droplet ejection-mass spectrometry (ADE-MS) conditions and automated sample prepa-ration compatibility for the high throughput quantification of ASBA from allantoic fluid. Special attention is given to the optimization of ADE-MS compatible liquid handling and the development of the data processing to ensure a reliable gender prediction. We have been able to accurately determine the gender of day-9 eggs with a prediction accuracy of 96%, with a throughput of 1800 samples per hour.

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.059
GPT teacher head0.287
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations6
Published2023
Admission routes1
Has abstractyes

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