Characterization of Different Prime Bi-Ideals and Its Generalization of Semirings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We introduce three sequences of different prime bi-ideals of semirings such that 11(12,13)-prime bi-ideal, 21(22)-prime bi-ideal and 31(32,33)-prime bi-ideal using bi-ideals. In this article, we characterize the different prime bi-ideals. We discuss that the 11-prime bi-ideal implies the 12-prime bi-ideal implies the 13-prime bi-ideal, but the reverse implication does not hold with the help of numerical examples. We investigate if a 21-prime bi-ideal implies a 22-prime bi-ideal, but the converse need not be true with the help of numerical examples. If G is any bi-ideal of a semiring S, then K(G) = {x ∈ G | x + y = z for some y, z ∈ G} is the unique largest k-bi-ideal contained in G. If Θ is a 21-prime bi-ideal of S, then Θ is a one-sided ideal of S. It is shown that there is a relation between G and K(G), in which G is a 13-prime bi-ideal. In our communication, 11-prime bi-ideal implies 21-prime bi-ideal. An interaction between a 31-prime bi-ideal implies a 32-prime bi-ideal, and a 32-prime bi-ideal implies a 33-prime bi-ideal; however, the reverse implication is invalid by some examples. Every 13-prime bi-ideal is a 22-prime bi-ideal, but the converse need not be true with the help of examples.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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