LABWEB - LNLS BEAMLINES REMOTE OPERATION SYSTEM*
Bibliographic record
Abstract
LabWeb is a project of the Brazilian Synchrotron Light Source (LNLS) aimed at allowing remote operation of its beamlines by the user community. Being the only light source in Latin America, LNLS receives several users from Brazil and other South American countries. The implementation of LabWeb will allow researchers to use the laboratory structure through a web browser, without leaving their research centers, reducing time and travel costs in a continental country like Brazil. LABWEB In 2010, the LabWeb project was in its first phase in which tests were conducted using a beta version. Two years later, a new phase of the project began with the main goal of giving the operation scale for the remote access project to LNLS users. In this new version, a partnership was established to use the open source platform Science Studio developed and applied at the Canadian Light Source (CLS). So far the project provided remote operation of three LNLS beamlines: SAXS1 (Small Angle X-Ray Scattering), XAFS1 (X-Ray Absorption and Fluorescence Spectroscopy) and XRD1 (X-Ray Diffraction). The expectation is to provide this remote way of performing experiments to all the other LNLS beamlines. Here this tool is described in its main components and features.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.075 | 0.065 |
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 source (direct Gemma or distilled Codex), 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".