Peer-to-peer mobile data flow in a crop field
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
The adoption of mobile technology in the agriculture sector can lead to benefits such as high productivity, improvement in mechanisation, increment in revenue, and timely information accessibility by farmers. The problem, however, is that mobile devices communicate over wireless mediums that can be unreliable; and when data states are kept on distributed nodes, inconsistencies can arise due to inefficiencies in the flow propagation of the updated agronomic data. This work describes a new key-value storage synchronisation workflow using exact set reconciliation and bloom filters. The proposed flow algorithm with its two-phase architect, with the first one being approximate synchronisation and the second one being exact synchronisation, provides better performance regarding bandwidth management. In addition, the usage of redundancy detection in the synchronisation mechanism makes it possible for the proposed algorithm to operate in a peer-to-peer environment, independent of any centralised server.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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