JPR volume 42 issue 2 Cover and Back matter
Bibliographic record
Abstract
A stochastic competing species model and ergodicity DAMIAN CLANCY.A stochastic SIS infection model incorporating indirect transmission O. L. V. COSTA AND F. DUFOUR.Sufficient condition for the existence of an invariant probability measure for Markov processes ESTHER FROSTIG.On the expected time to ruin and the expected dividends when dividends are paid while the surplus is above a constant barrier LARRY GOLDSTEIN.Berry-Esseen bounds for combinatorial central limit theorems and pattern occurrences, using zero and size biasing BRENTON GRAY, PHIL POLLETT AND HANJUN ZHANG.On the existence of uni-instantaneous Q-processes with a given finite Jl-invariant measure X. GUO AND J. LIU.Stopping at the maximum of geometric Brownian motion when signals are received PER HORFELT.The moment problem for some Weiner functionals; corrections to previous proofs (with an appendix by H. L. Pedersen) ZHENTING HOU, YUANYUAN LIU AND HANJUN ZHANG.Subgeometric rates of convergence for a class of continuous-time Markov processes ZSOLT KATONA.Width of a scale-free tree KONSTANTINOS V. KATSIKOPOULOS AND OZGUR ~iM~EK.Optimal doubling strategy against a suboptimal opponent GER KOOLE, MISJA NUYENS AND RHONDA RIGHTER.The effect of service time variability on maximum queue lengths in M X IGII queues JAMES LEDOUX.Recursive filters for partially observable finite Markov chains YULIN LI.Asymptotic baseline of the hazard rate function of mixtures B. H. MARGOLIUS.Transient solution to the time-dependent multi-server Poisson queue ALEXANDER Yu.MITROPHANOV, ALEXANDRE LOMSADZE AND MARK BORODOVSKY.Sensitivity of hidden Markov models M. MOHLE.Convergence results for compound Poisson distributions and applications to the standard Luria-Delbriick distribution RAGNAR NORBERG AND MOGENS STEFFENSEN.What is the time value of a stream of investments?
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.545 | 0.412 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".