Development of a Nursery Pen Image Capturing Device to Classify Approachability of Nursery Pigs
Bibliographic record
Abstract
The objective of this experiment was to build a mobile structure that could take digital pictures simultaneously with live observation to record pigs’ behavior. The digital pen image capturing device specifications (position in pen, height and camera angle) were based on the dimensions of the nursery pens at Lauren Christian Swine Research Center at the Iowa State University Bilsland Memorial Farm, near Madrid, IA where an approachability experiment was to be conducted. The nursery pen dimensions were 1.5 m wide by 2.1 m length and the ceiling height was 2.6 m. The digital pen image capturing device had a steel base that held a 1.6 m tall PVC pipe and at the top of the pipe a PVC T held a tripod head that secured the digital camera. The definition of successfully capturing the nursery pen was a digital image that included four sticky notes that would be positioned in each corner of the pen. Each sticky note measured 7.6 cm length by 7.6 cm width. Three device positions (left, right and center back), three device heights (1.5 m, 1.8 m, and 2.1 m) and a continuum of tripod head angles (ranging from 0 to 60 degrees were tested. The final specifications for the digital pen image capturing device was: a height of 1.8 m, a tripod head angle of 35 degrees and a back right corner position.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".