Bibliographic record
Abstract
Data from the Quebec swine breeding program (1980 to 2001) were used to estimate genetic parameters for longevity and to evaluate the contribution of non-genetic factors. After data verifications, there were 28,377 Yorkshire, 30,123 Landrace and 7,830 Duroc sows with records of herd life. The program 'The Survival Kit V3.12' (Ducrocq and Solkner, 2001) was used to estimate heritability separately within each breed, using a Cox proportional hazard model. The time-independent fixed effects of age at first service and of the combinations of herd with year of birth, estimated breeding value (EBV) backfat, EBV age to 100 kilograms and EBV litter size were included. The effects of number of piglets born, number of piglets weaned, crossbreeding at insemination, stage of sow (farrowing, weaning or heat) and their combination with parity were treated as fixed time-dependent variables whereas herd by year was treated as random time-dependent variable. The random effect of sire using sire relationships back two generations was considered as the source of genetic variation. Length of productive life (longevity) was defined as the number of days from first service until culling.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 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".