MétaCan
Menu
Back to cohort
Record W4403256091 · doi:10.12681/mms.38392

Marine Heatwaves in the Mediterranean Sea: A Literature Review

2024· review· en· W4403256091 on OpenAlexaff
Sofia Darmaraki, Dimitra Denaxa, Iason Theodorou, Eleni Livanou, Dionysia Rigatou, DIONYSIOS RAITSOS E., Orestis Stavrakidis‐Zachou, Donna Dimarchopoulou, Giulia Bonino, Ronan McAdam, Emanuele Organelli, ALEXIA PITSOUNI, Antonios Parasyris

Bibliographic record

VenueMediterranean Marine Science · 2024
Typereview
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsDalhousie University
FundersHellenic Foundation for Research and Innovation
KeywordsMediterranean seaMediterranean climateOceanographyGeographyEnvironmental scienceGeologyArchaeology

Abstract

fetched live from OpenAlex

Marine heatwaves (MHWs) are prolonged periods of exceptionally warm temperatures in the ocean, which have forced profound transformations in marine biodiversity and socio-economic systems globally over the last decades. The Mediterranean basin, a highly vulnerable area to climate change, has been particularly affected as a marginal sea, experiencing multifaceted changes due to these events. This literature review brings together a comprehensive list of interdisciplinary research on MHW evolution in the Mediterranean basin, from the past to the future, covering the most common driving mechanisms of MHWs, known feedbacks and impacts on various marine organisms and local economies. Aiming to enhance our understanding of Mediterranean MHWs across various dimensions, we further discuss ongoing challenges in their detection and characterization, highlighting the need to improve monitoring systems and forecasting capabilities using novel approaches in the basin and beyond.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.043
GPT teacher head0.295
Teacher spread0.253 · 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
GenreReview

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

Citations25
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMediterranean Marine ScienceSame topicMarine and environmental studiesFrench-language works237,207