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Record W3146611414 · doi:10.33137/jns.v2i1.34665

Physiological Responses of Coral Reef Species to Emerging Threats of Anthropogenic Climate Change

2021· article· en· W3146611414 on OpenAlexaffvenue
Rabia Mahmood

Bibliographic record

VenueUTSC s Journal of Natural Sciences · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsResilience of coral reefsCoral reefCoral reef protectionEnvironmental issues with coral reefsAquaculture of coralReefOcean acidificationCoral bleachingClimate changeCoral reef organizationsOverfishingCoralHabitat destructionMarine ecosystemEcologyFisheryEnvironmental scienceEcosystemHabitatBiologyFishing

Abstract

fetched live from OpenAlex

Anthropogenic climate change is a threat to countless species and ecosystems around the world, including the coral reefs. Coral Reefs provide habitat to hundreds of thousands of species and play a big role in maintaining biological diversity. Unfortunately, around 50-70% of all coral reefs are under direct threat from human activities such as deforestation and overfishing. Major threats to the survival of coral reefs include increasing sea surface temperatures and ocean acidification, as they lead to bleaching and reduction in coral calcification. Due to the rapidly changing climate, conservation efforts should be aimed at protecting species that can tolerate a wide range of temperatures and buffer pH changes. This paper discusses recent research on tolerance and persistence of various species that make up the coral reefs and how this information can be integrated into current conservation practices to better protect the coral reefs.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.080
GPT teacher head0.327
Teacher spread0.247 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2021
Admission routes2
Has abstractyes

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Same venueUTSC s Journal of Natural SciencesSame topicCoral and Marine Ecosystems StudiesFrench-language works237,207