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
This paper deals with a new emerging science the "Seafloor Observatory Science". It is evolved rapidly over the last two decades by means of new projects and programmes towards the establishment of permanent underwater networks. The main on-going initiatives at global scale are presented for Canada (NEPTUNE -North East Pacific Time-series Underwater Networked Experiments), USA (OOI -Ocean Observatories Initiative), Japan (DONET -Dense Oceanfloor Network system for Earthquakes and Tsunamis), Taiwan (MACHO -Marine Cable Hosted Observatory) and Europe (through ESONET-NoE -European Seas Observatory NETwork-Network of Excellence and recently with the infrastructure project EMSO -European Multidisciplinary Seafloor Observatory). Moreover, the scientific motivations for seafloor observatories and their main architecture are discussed. Finally, the applications and opportunities of cabled observatories beyond those in ocean science research, technology and data services are outlined. It is important to recognise that the advent of cabled ocean observatories heralds in a new era of ocean exploration and interpretation, which will make profound contributions to socio-economic benefits, public policy formulation, and public education and engagement.
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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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