Seasonal anoestrus in western grey kangaroos (Macropus fuliginosus ocydromus) in south-western Australia
Bibliographic record
Abstract
Public opposition to culling has generated interest in wildlife management through fertility control. Temporary, non-invasive methods of fertility control, such as by xenobiotics, can be best employed with an understanding of the target species’ breeding cycle. We used head length to calculate the conception date of 136 pouch-young of western grey kangaroos (Macropus fuliginosus ocydromus) from four sites around Perth, Western Australia, between May 2006 and October 2008: Thomsons Lake Nature Reserve (n = 80), Harry Waring Marsupial Reserve (n = 11), Melville Glades Golf Club (n = 29), and Marangaroo Golf Course (n = 16). In total, 78% of all pouch-young were conceived in the months of December–February, 11% in November, 6% in March, and less than 2% in each of October, April and May. We examined the ovaries of 134 females culled from Thomsons Lake Nature Reserve during the months of May–July 2006. Only seven ovaries had a follicle of at least 5 mm and none had an active corpus luteum. These data indicate that the breeding activity M. f. ocydromus is restricted almost exclusively to the months of November–February. A practical application of this finding is that temporary fertility controls applied early in October will provide a full year of birth control if they remain active for seven months.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".