Model-selection results for linear models of hoary marmot reproductive parameters.
Why this work is in the frame
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Bibliographic record
Abstract
<p>Model-selection results for multistate CMR analyses of adult female hoary marmot survival and breeding probability in the Ruby Range, Yukon Territory from 1999–2004. Mark-recapture data were used to model the joint probability of three parameters: Apparent survival probability (S), the probability of breeding in a given year (Ψ), and detection probability (p). p was always modeled as a constant, and was estimated at 0.96 ± 02 (SE). Models are described in terms of the covariates used to constrain S and Ψ. In some cases, Ψ was modeled differently for young (2 year old) and old (3+ years) marmots. Descriptions and abbreviations for all covariates are in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119081#pone.0119081.t001" target="_blank">Table 1</a>. K is the number of estimated model parameters, AICc is the Akaike Information Criterion corrected for sample size, Δ AICc reflects the difference in AICc between each model and the top model (smallest AICc),and ω is the model’s AIC weight.</p><p>Model-selection results for linear models of hoary marmot reproductive parameters.</p>
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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 | 0.001 | 0.014 |
| 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) | 0.002 | 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 it