The PLOCAN observatory: A multidisciplinary multiplatform observing system for the central-eastern Atlantic ocean
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 Oceanic Platform of the Canary Islands (PLOCAN) will provide rapid access to great depths at short distance from the shore, accelerating research and the generation of water column and deep-ocean knowledge. The mission of the multidisciplinary observatory is two-fold: the first is to contribute to the monitoring and modeling of coastal, regional and global ocean phenomena and ecosystems at increasing geographical scales, from shallow waters to great ocean depths. The second is the monitoring of the environmental impact and mitigation effort for all scientific and technical experiments, such as instrumentation testing, deep-sea operations and training activities from the platform. Finally one of the objectives is to offer a large yet continuously controlled area for testing deep observing systems, offering instrumentation benchmarking, calibration and validation services. The observatory has committed to contribute to and integrate with large observing initiatives, such as the European network and infrastructures ESONET-EMSO and ICOS, collaborate with international initiatives such as the North-East Pacific Time-Series Undersea Networked Experiments (NEPTUNE, Canada), and implement international standards and best-practices for sensor and data interoperability, in compliance with guidelines established for the implementation of a Global Earth Observing System of Systems (GEOSS).
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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