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Record W3044656082 · doi:10.1201/9781003079224-83

Mass mortality of Strongylocentrotus droebachiensis (Echinoidea) and increased macroalgal abundance in the rocky subtidal off Nova Scotia, Canada

2020· book-chapter· en· W3044656082 on OpenAlexaboutno aff
Robert E. Scheibling

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStrongylocentrotus droebachiensisNova scotiaFisheryAbundance (ecology)Rocky shoreOceanographySea urchinGeographyBiologyEcologyGeologyShore

Abstract

fetched live from OpenAlex

Between 1980 and 1983, recurrent outbreaks of disease have resulted in mass mortalities of Strongylo-centrotus droebachiensis along the Atlantic coast of Nova Scotia. Mortality has been virtually complete (>99%) over an area spanning ≃400 km of coastline and to a depth of at least 15m; partial mortalities have occurred over another ≃150 km. The estimated loss of biomass exceeds 200,000 tons fresh weight. The elimination of echinoids has enabled an extensive colonization of the rocky substratum by kelp and other fleshy macroalgae. Increases in the number and biomass of macro-algal species are reported for areas where mass mortality of echinoids occurred 1, 3 and 4 years previously.

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)0.000
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 score0.349
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.207
Teacher spread0.197 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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