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Record W6920508225 · doi:10.60692/8q3e8-1fy83

Morphological and molecular identification reveals that waters from an isolated oasis in Tamanrasset (extreme South of Algerian Sahara) are colonized by opportunistic and pollution-tolerant diatom species

2021· article· en· W6920508225 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2021
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDiatomThalassiosira pseudonanaNaviculaNitzschiaBiogeographyIdentification (biology)

Abstract

fetched live from OpenAlex

A water sample was obtained from an arheic oasis in the deep Sahara Desert, the Gueltates Afilal in Tamanrasset (Algeria). Five diatom strains were isolated, cultivated and identified as Tryblionella apiculata, Nitzschia supralitorea, Fistulifera saprophila, Navicula veneta and Thalassiosira pseudonana using a combination of scanning electron microscopy and next generation sequencing. The diatoms identified are opportunistic and cosmopolitan species with known tolerances to organic pollution and variations in salinities, often found in meso- and polysaprobic zones in Europe. Their complete organellar genomes have been sequenced and some exhibit features never observed among diatoms before. To our knowledge this is the first time that living specimens of diatoms from the deep Sahara are identified using modern taxonomical tools in the frame of a study which also demonstrates the possibility to cultivate such material in laboratories for further experiments on biogeography and bioindication. Our study also suggests that European identification keys can be effective when employed on diatoms from the Sahara.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

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

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 head0.045
GPT teacher head0.230
Teacher spread0.185 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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