High throughput mass spectrometry assay for early chick gender determination: less than 3s total analysis time per sample.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".