Comportamiento productivo y características físicas de huevo producido por gallinas criollas Copetonas y Marans
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
Objective: The present study was conducted to evaluate the productive performance and egg physical characteristics of two backyard-type breeds of birds. Design/methodology/approach: Tufted Creole Hens (TCH; 13 hens and a rooster) and Marans (13 hens and a rooster), were used in this study. Live body weight, feed intake, egg production, egg weight, egg length and egg width were measured weekly during eight weeks. Collected data were analyzed using a two-way analysis of variance, the main factors were breed, week and their interaction. Results: Marans hens were heavier and had higher feed intake than the TCH (P<0.05). The egg of the TCH was smaller (P <0.05) in weight and length with respect to that of Marans hens. TCH produced more eggs than the Marans hens (P <0.05). The week factor was significant (P <0.05) for body weight, feed intake and egg length. Limitations on study/implications: Further studies should be carried out to design a feeding program that would allow both breeds to express their full productive potential and maximize the return on investment in backyard production systems in Mexico. Findings/conclusions: Marans hens are a heavier breed due to their greater live body weight and feed intake with respect to TCH. The TCH are lighter birds but with a higher egg production when compared to the Marans.
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) | 0.001 | 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 it