<scp>papa</scp> (package for the analysis of parental allocation): a computer program for simulated and real parental allocation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract papa is a parental pair allocation and simulator program. The allocation method is based on the likelihood of a parental pair producing the multilocus genotype found in the offspring being tested, which will be referred to as the breeding likelihood . Estimated level and structure of allele transmission errors in offspring are parameters fed into the allocation procedure. The embodied Monte‐Carlo simulator also allows modelling of many allocation conditions, including transmission error and the estimated proportion of missing parents. Simulations may be run prior to the collection of real parents in order to define the minimal set of loci that is necessary to reach a desired level of allocation success. Post‐collection simulations aim at statistically assessing the reliability of nonsimulated allocations. Simulations output values for several random variables.
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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 it