Protein quantification in frozen swine semen filtered with Percoll
Bibliographic record
Abstract
In this study, the protein concentration in fresh and frozen semen samples from three breeds was determined using discontinuous Percoll gradients. Ejaculates (n = 34) from Large White, German Pietrain, and Duroc-Jersey boars were cryopreserved. After thawing, Percoll gradients were used to process the samples. Protein extraction was performed through the Bradford method. The absorbance of the solution was measured using a microplate spectrophotometer at 562 nm and aliquots were analyzed after solvation. Protein concentration were evaluated using the absorbance values of the lowest dilution within the calibration range. Protein concentration was higher in fresh samples (0,169 mg/ml) compared to frozen samples (0,127 mg/ml). Among breeds, Duroc samples showed the highest protein concentration (0,163 mg/mL), followed by Large White (0,146 mg/mL), and German Pietrain (0,129 mg/mL). Therefore, it was shown that cryopreservation caused a decrease in protein concentration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".