MétaCan
Menu
Back to cohort
Record W7095393999

ART. No 435 Contribution COB No 607 DISTRIBUTION AND DIVERSITY OF ASTEROIDS IN ATLANTIC

2014· article· en· W7095393999 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEchinoderm biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFaunaStructural basinAsteroidOceanic basinDistribution (mathematics)Species diversity
DOInot available

Abstract

fetched live from OpenAlex

-Since the last survey of the distribution of the echinoderm fauna in the deep sea, worked out by MADSEN, more than 100 trawlings in various areas of the Atlantic Ocean give new possibilities of characterizing the faunal assemblages of several basins at depths greater than 1800 m. During 12 cruises conducted by the Centre Octanologique de Bretagne, seven atlantic basins (Cape, Angola, European, Labrador, Greenland, and Norwegian Basins) have been intensively prospectt'd. Comparisons of the asteroid faunas (43 species on the whole) are approached with appropriate similarity index, especially the second Kulczynski coefficient, and esti-mates of density and diversity of the fauna art: analysed within each basin for two ranges of depths ( and s- 3000 m). The distinct fauna, and the correlation of low diversity with high densities observcd in the Greenland, Norwegian, Mediterranean, and Cape Basins confirm the isolation of such areas either by topographie barriers or by special ecological conditions.-

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)0.000
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: none
Teacher disagreement score0.199
Threshold uncertainty score0.665

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1990.064

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 head0.177
Teacher spread0.170 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicEchinoderm biology and ecologyFrench-language works237,207