Bibliographic record
Abstract
Figure 2: Wait until the boar begins to ejaculate. Figure 3: Hold off the ear vein until it becomes obvious. ELISA test. Instead of swabs, the 500-μL serum collection tubes produced by Sarstedt (Microvette 500 with serum clotting activator, Catalogue #20.1343.100; Sarstedt Inc, Montreal, Quebec, Canada) were perfect for our use. They provided suffi cient serum for the two tests and were easy to use in the fi eld. Our methods are described and illustrated in Figures 1 through 6. At the laboratory, centrifuge the vial in a microcentifuge to harvest 250 to 500 μL of serum. References *1. Reicks DL. An overview of blood collection strategies for boar studs. Iowa State University 13th Annual Swine Disease Conference for Swine Practitioners. Ames, Iowa; 2005. 2. Reicks DL, Munoz-Zanzi C, Rossow K. Sampling of adult boars during early infection with porcine reproductive and respiratory syndrome virus by polymerase chain reaction using a new blood collection technique (blood-swab method). J Swine Health Prod. 2006;14:258-264.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.147 | 0.203 |
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".