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10.1016/s0967-0653(97)89682-2

2000· article· en· W181388649 on OpenAlexvenueno aff
O. Delgado, Amàlia Grau, S. Pou, F. Riera, Catalina Massutí, Míkel Zabala, E. Ballesteros

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsSeagrassPosidonia oceanicaBayMediterranean climateMediterranean seaFisheryGrazingEnvironmental scienceOceanographyHabitatGeographyBiologyEcologyGeology

Abstract

fetched live from OpenAlex

A three year monitoring programme (1988-1990) of embayment habitats dominated by the seagrasses Posidonia oceanica and Cymodocea nodosa was carried out in Fornells Bay (Menorca, Western Mediterranean), where gilthead seabream (Sparus auratus) was artificially reared. Responses ranging from shoot density decrease to total seagrass demise were observed. Posidonia oceanica was more drastically and quickly affected than Cymodocea nodosa. In 1990, a total of 2 ha of seagrass were significantly degraded. Increased light attenuation, sedimentation rates, and grazing pressure are proposed as the principal factors accounting for seagrass regression.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.003
Science and technology studies0.0020.002
Scholarly communication0.0040.008
Open science0.0040.004
Research integrity0.0090.003
Insufficient payload (model declined to judge)0.9900.991

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 head0.007
GPT teacher head0.152
Teacher spread0.145 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations81
Published2000
Admission routes1
Has abstractyes

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