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Record W2743709662 · doi:10.18331/sfs2016.3.1.5

Seasonal variations in the epilithic diatoms of Koçan Falls (Erzincan, Turkey)

2016· article· en· W2743709662 on OpenAlexvenueno aff
Metin Çağlar, Güneş Pala

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2016
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyGeographyDiatomEcologyFisheryBiologyGeology

Abstract

fetched live from OpenAlex

The present study explores some physical and chemical parameters in the epilithic diatoms in the water samples obtained from two stations in Koçan Falls, Erzincan from March to November 2014. Over the course of the study, 19 taxa of epilithic diatoms were recorded. Diatom genera which had the highest number of species in the study period were Cymbella (4 species), Navicula (4 species), and Cyclotella (3 species), while the most significant diatoms in terms of prevalence and the size of their populations were found to be Cyclotella spp., Gomphonema spp., Navicula spp., and Nitzschia spp. Over the course of the study, diatoms exhibited the highest level of growth in spring and summer, when there was more light and temperatures were higher. Considering the presence of diatoms within epilithic algae communities in all seasons, it appears that diatoms are cosmopolitan and can be among the algae that are commonly found at all types of substrata. The data obtained from the epilithic diatoms of Koçan Falls were analyzed according to Shannon-Weaver Diversity Index and Sorensen Similarity Index.

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 score0.057
Threshold uncertainty score0.114

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 science0.0000.000
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 head0.141
GPT teacher head0.311
Teacher spread0.169 · 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

Citations1
Published2016
Admission routes1
Has abstractno

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