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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.
Bibliographic record
Abstract
Artificial insemination is well-established in dairy cattle, with sires housed in commercial studs for processing. In some species, however, sires located on-farm are used for artificial insemination by shipping their semen to an off-site laboratory for processing within 24 h of collection. To expedite semen transport from the farm to laboratory, protocols must be uncomplicated. For goat semen, an obstacle is the seminal plasma, which must be removed because it contains proteins that impede sperm quality. Our objective is to develop a simple strategy to transiently store goat semen for 24 h prior to freezing. Cholesterol-loaded cyclodextrin (CLC) has been demonstrated to improve sperm tolerance to cryopreservation. Therefore, we hypothesized that CLC improves goat sperm resistance to seminal plasma damage, over 24 h prior to cryopreservation. We first evaluated the ability of CLC to protect goat sperm against seminal plasma damage by treating fresh semen with or without seminal plasma prior to cryopreservation. Second, fresh goat semen with seminal plasma was extended in skim milk-based extender ± CLC and held for 24 h at 5 °C prior to freezing. Our results indicate that CLC treatment improves goat sperm resistance to seminal plasma-mediated injury and protects sperm quality over 24 h prior to freezing (P < 0.05). Although the in vivo fertility of semen must first be assessed, it is possible that protocols for goat semen cryopreservation can be simplified by including CLC and eliminating seminal plasma removal. Processing and distribution of goat semen for AI would thereby be facilitated.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it