Future eruptions of the Kolumbo volcanic field: prognosis with hazard and risk assessment
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
Abstract The Kolumbo submarine volcanic field consists of at least 24 monogenetic cones and a polygenetic central volcano which erupted in 1650 CE. The prognosis, hazards and risks from future eruptions are assessed by structured expert judgement informed by knowledge of the volcanic history, structure and eruptive products, hazards modelling and global knowledge of submarine volcanism. There are significant knowledge gaps leading to large uncertainties in this assessment, characterised quantitatively by 90% uncertainty intervals (UI) in elicitation responses. The median assessed probability of eruption in the next 30 years is low at 0.75% (90% UI 0.4% to 14%) but the upper, 95th percentile value indicates the probability could be as high as 1 in 7 chance. The magnitude of an eruption in the next 30 years is mostly likely to be smaller than that of 1650 CE, but there is a significant chance it could be as large as 1650 CE. A future eruption could generate several high impact hazards including tsunamis, lethal gas clouds, pyroclastic density currents, widespread tephra fall and associated earthquakes. Nearby islands are threatened and in particular Santorini. In the tourist high season, the exposed population on Santorini may exceed 80,000 people. Vulnerability is high especially along the eastern coast which may be affected by tsunami and gas cloud hazards. Transport, telecommunications, power supplies and water resources are likely to be severely disrupted and even cease to function. For tsunami hazards individual risk of death in threatened areas is high and societal risk is very high if there is an ongoing eruption and exceeds what might be judged acceptable by factors of over 100.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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