Bibliographic record
Abstract
Abstract: The World Wide Web illustrates the power of using a common, simple markup language (HTML) to describe distributed documents. To expand this power to other types of data, a system for the markup and visualization of linear data is introduced. The Browser for Linear Units in Java (Bluejay) is composed of three main components: (i) a set of Java foundation classes for data parsing, visualization, and user event handling, (ii) an HTTP proxy server for data conversion, and (iii) Java classes implementing the user interface for a particular application of the browser. Bluejay users can efficiently browse specialized data on the Web, concentrating on information of particular interest to them. This is achieved through the use of the W3C’s Extensible Markup Language (XML) as the data format, a data conversion server, and a document components tree which can be configured to restrict the type of data shown. An application of Bluejay for browsing genetic sequence data encoded in BIOML (an XML) is described to demonstrate the principles of the system. Creating an integrated view of heterogeneous, distributed genetics and genomics databases, the application illustrates the usefulness of borrowing the HTML browser paradigm to create specialized data visualization using XML. Despite the use of proxy servers and drawing abstraction, data retrieval and display performance is kept high through the use of special caching techniques for the proxy, and simple module replacement in the application.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".