Faktory ovlivňující výběr boxu dojnicemi českého strakatého plemene skotu
Bibliographic record
Abstract
The objective of the dissertation thesis was to analyse factors affecting preference of cubicle of Czech Fleckvieh dairy cows. Monitoring was carried in farm GenAgro Ricany a. s., a period of 12 months (June 2011 -- May 2012). The objective of monitoring was one section - one quarter of stable (n = 98 cows). Total of 47 040 observations were analysed. Statistical evaluation of data was performed by STATISTICA 10.0. In the sectionwas comprised of 103 comfortable stalls (cubicles) distributed into 3 rows.. Row A -- closest to feeding table (32 cubicles); row B -- in the midle section (33 cubicles); row C -- close to the side wall (38 cubicles). In all factors (number and stage of lactation, milk yield, number of arrival from milking parlour, temperature and humidity in stable and THI, height in the cross) was found significantly influence (p < 0,01) on preference of cubicle row. In evaluation of preference of boxes it was found out, that the lowest occupation rate in whole observing was in those boxes, which are on the edge of rows. Also lower amount of visits was noted in boxes, which are surrounded from more than one side by wooden partition separating space for lying (box) from waterhole. On the contrary mostly occupied boxes were those, which are located in the middle of box rows. Further higher preference rate of left side when lying was found in all observed influences, identically at both outer rows. On the contrary dairy cows preferred right side when lying in middle row.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".