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Record W7128531703 · doi:10.64903/1480-6800.20.2.237

New Records of Freshwater Crustaceans from Vernal Pools of Qatar Including Large Branchiopods and a Mysid Shrimp, a Natural Resource of Economic Importance for the Aquaculture Industry

2017· article· W7128531703 on OpenAlexvenueno aff

Bibliographic record

VenueArab world geographer · 2017
Typearticle
Language
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAnostracaBranchiopodaCrustaceanShrimpCladoceraInvertebrateEcosystemAquacultureZooplankton

Abstract

fetched live from OpenAlex

During an intensive survey of fresh water macroinvertebrates from vernal and permanent inland waters of Qatar, at the wet seasons of 2016 and 2017, seven species of crustaceans (one cladoceran, one notostaracan, two anostracans, two diplostracans, and one mysid) are reported. The findings of Cladocera is the water flea Daphnia magna; the Notostraca are represented by the tadpole shrimp Triops longicaudatus; the Anostraca included 2 fairy shrimps Branchipus schaefferi and Streptocephalus simplex; the Diplostraca are represented by the clam shrimps Leptestheria sp and Eocyzicus sp and the mysid shrimp Taphromysis sp. Except for the tadpole shrimp, all the remaining species are here recorded for the first time in Qatar. The diversity of fresh water Crustacea especially large branchiopods, reflects that they play an important ecological role in the inland water ecosystem of the state. Their distribution and economic importance are also discussed.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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
Published2017
Admission routes1
Has abstractyes

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