EFFECT OF NON-GENETIC AND GENETIC FACTORS ON BIRTH WEIGHT OF MENGALI SHEEP OF BALOCHISTAN
Bibliographic record
Abstract
Data on birth weight of 2377 lambs obtained from 581 dams and 56 sires of Mengali sheep born during 2005 and 2009 were recorded and analyzed to identify the factors affecting birth weight of Mengali lambs. Mengali flocks were kept under semi-intensive condition in four stations at three different locations (Experimental Station Center for Advanced studies in Vaccinology and Biotechnology (CASVAB), University of Balochistan, (ESC), Quetta, Killi Hassni, Quetta; Khadkucha, Mastung and Peer Wala (Mal), Nushki). The lambing occurred spring and autumn, however majority of the Mengali sheep (85 %) lambed during spring between (February and March months). Among the total lambs born, the male to female sex ratio was 49.43: 50.57 respectively and shown no significant difference between two sexes. The overall least-squares means for birth weight of males and females pooled over parity and type of birth were 3.61±0.36 and 3.48±0.39 kg respectively
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".