An Integrated Approach to Ocean Observatory Data Acquisition/Management and Infrastructure Control Using Web Services
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 proliferation of ocean observatories in the absence of agreed-upon standards for instrument and user interfaces and observatory control functions will constrain interoperability and cross-linking of disparate datasets. This will in turn limit the scientific impact of ocean observatories and increase their operating costs. Devising hardware-based standards will be difficult given the different internal architectures of existing and planned ocean observatories. This paper proposes that instrument, data, and observatory control processes be wrapped with standard web services which will provide a global software standard for these observatory functions. In addition to facilitating interoperability, state-full web services with workflow bindings for observatory instrument and data processes will enable dynamic user control of observatory configuration and the creation of multiple virtual instrument networks within one or more ocean observatories. These concepts are defined and illustrated through a number of use scenarios.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 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 it