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Record W2300017797 · doi:10.1016/0967-0653(93)96048-i

10.1016/0967-0653(93)96048-i

2000· article· en· W2300017797 on OpenAlexvenueno aff
Ann Vanreusel, Magda Vincx, D. Van Gansbeke, W. Gijselinck

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsDominance (genetics)Continental shelfBiologyOceanographyMeiobenthosBiomass (ecology)SedimentChlorophyll aDeep seaEcologyAbyssal zoneTaxonFisheryBotanyGeologyPaleontology

Abstract

fetched live from OpenAlex

In a first attempt to obtain information in order to characterize the shelf break zone, the meiobenthos communities of two fine sandy stations of 190 m and 325 m depth in the Gulf of Biscay off the Spanish coast were investigated in relation to some environmental characteristics (sediment composition, chlorophyll <i>a</i> content, redox values). The nematodes, which are the dominant taxon, were studied in detail. Their communities are relatively poor in densities (840 and 779 individuals per 10cm<i>2</i> and biomass (0.137 and 0.334mg dwt/10cm<sup>2</sup>) compared to those of shallow coastal areas. The dominance of small species (mean individual biomass: 0.169 and 0.423 µg dwt) and a low total biomass can be related to the low chlorophyll <i>a</i> content (maximum of 1.14 µg/g). However, the number of nematode genera is much higher (46 and 62 genera per station) than on the continental shelves (often less than 40 species per 10 cm<sup>2</sup>). <i>Sabatieria, Daptonema, Minolaimus, Richtersia</i> and <i>Halalaimus</i> are the dominant genera in the two stations. These are also characteristic genera for the abyssal zone. The composition of the nematode communities is more similar to deep-sea communities than to those from subtidal zones. The low food supply is considered as an important structuring factor.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.819
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

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)1.0000.999

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 head0.008
GPT teacher head0.175
Teacher spread0.167 · 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; both teacher heads 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

Citations36
Published2000
Admission routes1
Has abstractyes

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