MétaCan
Menu
Back to cohort
Record W4383067240 · doi:10.3389/fmars.2023.1221674

Editorial: The discovery of the unknown planet: the ocean

2023· editorial· en· W4383067240 on OpenAlexaboutno aff
Paolo Favali, Juan José Dañobeitia, Bruce M. Howe, Henry A. Ruhl

Bibliographic record

VenueFrontiers in Marine Science · 2023
Typeeditorial
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPlanetAstrobiologyOceanographyData scienceGeographyHistoryGeologyComputer scienceAstronomyBiologyPhysics

Abstract

fetched live from OpenAlex

Seventy per cent of the Earth's volcanism occurs on the ocean floor, which together with large seismic events and submarine landslides, are the main sources of earthquakes and tsunamis causing catastrophic damage as well as having a high socio-economic impact. As a result, there is great interest to both explore and understand the biogeochemical processes within the ocean. This also involves research into what has been an unexplored area of the Earth, the 'deep ocean'. As part of this desire to understand all aspects of the ocean, the United Nations (UN) launched the '2021-2030 Decade of Ocean Science for Sustainable Development'. This initiative and associated challenges are expected to mobilize the global ocean community to provide answers and possible solutions that will ensure the sustainability and protection of the seas and coastlines of the world.In this special issue we have papers that discuss: innovative concept of SMART 4 telecommunication cables which house various oceanographic and seismic sensors to improve real-time knowledge of many natural phenomena, and are an improvement on the present tsunami early warning systems. ' Data management aspects, such as the Oceans 2.0/3.0 data management and archival system for the internet-connected ocean implemented in Canada. Organizational Perspectives, discussing the collaborative efforts required from local/regional and global communities. An example is the role of marine infrastructures in the European marine observation landscape that stresses the importance of an integration process with co-design and co-development as central features.The advantage of a modular type of platform, including diverse suites of underwater sensors, like EGIM 2 is clear; these can be further optimized using artificial intelligence. This scientific work stresses the importance of continuous monitoring from smaller observatories dedicated specifically to the monitoring of volcanoes and other earth or ocean features of interest. Some examples of this have already started at Santorini, and other areas of biodiversity observations, where it is seen as both feasible and complementary to the ocean observations that include regional, cabled observatories. These include, for example, ONC 5 in Canada, EMSO 1 in Europe, DONET 6 in Japan, and some variants of SMART 4 cables on a global scale.Expanding deep-sea observations and broadening underwater installations that include dedicated infrastructures, special laboratories and multi-platform observatories is the way forward to a better understanding of our oceans. This has been a long-term European commitment effort led by EMSO ERIC 7 involving a number of European countries.The research infrastructure for deep ocean fixed observations plays a key role in obtaining the requisite scientific understanding, because it is the infrastructure and platforms, with the associated operations and maintenance that drives the cost. There already exists the capability to collect long-term time series and spatial data from the surface, through the water column and down to the deep seafloor. This infrastructure with the sensing can make fundamental and unique contributions in the understanding and promotion of the necessity of a multidisciplinary approach that includes all parties that use, utilise, develop and depend on the oceans of the world.There are many global scientific and technological infrastructure programmes that already monitor and study the ocean. providing a better understanding of how it plays its part in all aspects of life, whether in the sea or on land. The aims of many of these programmes are already perfectly aligned with the key priorities of the UN Agenda 2030, European Commission (EC) Horizon Europe framework programme (2021)(2022)(2023)(2024)(2025)(2026)(2027), and strongly Nonetheless, what has been outlined above requires an effective and efficient data management that will enable and ensure quality control on a massive scale as well as disseminating this underwater data through a transparent and known management, providing a clearer 4D view of the ocean. This will result in a better understanding of the complex natural and anthropogenic phenomena taking place in the deep ocean that ultimately affects climate, coastal and open sea habitats, natural resources, health and ocean sustainability.The work and research already completed by the bodies mentioned, indicate that the science, the technology and a greater will from government bodies provide an excellent opportunity to more fully understand the waters that cover the globe, and where encouraged by SDGs 9 It will be possible to foster the 'blue economy' which is based on greater knowledge and understanding and a friendlier use of the oceans.This research topic, within the sections 'Deep-Sea Environments and Ecology', and 'Ocean Observation', consequently highlights the benefits of having an integrated and interdisciplinary approach. The papers have in accordance with this included local and global observations from some of the main worldwide actors in the field of better understanding and protecting the oceans of the world. The results of this have produced themes that are all in agreement and need to be addressed. These are: Highlighting the application of international and European ocean observing strategies. Showcasing recent and on-going infrastructure program developments. Sharing scientific and technology development results that advance integrative assessment. Realising use of best practices, data quality control and FAIR 10 principles. Documenting data life cycles -origination to delivering analysed information to users. Synthesising perspectives on the present and future.This special issue has brought together original research along with technological papers, perspectives, and reviews that focus on delivering integrated ocean observing information to allow for sustainability from the coast to the deep sea. It attracted 16 contributions and involved 178 authors, these can be found in the following link: https://www.frontiersin.org/research-topics/18542/the-discovery-of-the-unknown-planet-theocean.The response to 'The Discovery of the Unknown Planet: The Ocean' from within the scientific world and those working in other areas has been extremely positive and it has had a very significant impact with the total number of views presently that of over 38,000.8 Joint Programming Initiative 9 Sustainable Development Goals 10 Findable, Accessible, Interoperable and Reusable

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0060.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0040.002
Science and technology studies0.0040.004
Scholarly communication0.0090.008
Open science0.0060.002
Research integrity0.0190.024
Insufficient payload (model declined to judge)0.0240.024

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.

Opus teacher head0.006
GPT teacher head0.228
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Marine ScienceSame topicMarine Biology and Ecology ResearchFrench-language works237,207