Development of a remote method for the recording of cattle weights under field conditions
Bibliographic record
Abstract
Remote weighing of cattle is advantageous because it is less labour-intensive and less invasive for the animal than conventional methods. An automated system was built using ‘off the shelf’ technology which allowed for cattle to be weighed automatically on pasture when accessing the device. Data collected over a 70-day grazing period was compared with data collected at 2-week intervals by transferring cattle to a centralised weighing facility. Liveweights recorded using the remote system were some 20 kg higher than those measured conventionally. However the daily rate of change was similar for conventional and remote weighing methods, being 1.25 v. 1.20 kg/day, respectively (P = 0.48). This study demonstrated that remote weighting of cattle on pasture is feasible and gives satisfactory results compared with conventional methods. This relatively simple method relies on technologies currently available to the cattle industry and could readily be adapted to a range of commercial situations.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".