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Record W3017622923 · doi:10.33542/tjb2020-1-01

Phytogeographical differentiation of the genus Carex (Cyperaceae) in Saskatchewan, Canada

2020· article· en· W3017622923 on OpenAlexafffundabout
Іvan Danylyk, Vladimir Kricsfalusy

Bibliographic record

VenueTHAISZIA - JOURNAL OF BOTANY · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsCarexCyperaceaeRange (aeronautics)GenusGeographyEcologyBiogeographyBiologyPoaceae

Abstract

fetched live from OpenAlex

This paper presents a phytogeographical analysis of the genus Carex (Cyperaceae) in Saskatchewan, Canada. Carex (sedges) is the largest genus of vascular plants in the provincial flora, which includes 105 species used in our analysis. Phytogeographical differentiation of the genus was determined based on zonal, climatic, altitudinal and regional position of the study species. First of all, 15 zonal range types were identified. It was found that the majority of the study species are located in moderately cold or cold natural zones and have rather large range sizes with a high degree of disjunction. After that, the study species were classified into four climatic range types, situated within the significant impact of the severe continental climate. Later, four altitudinal range types, with a slight predominance of the group of species associated with the plain and low-altitude areas, were recognised. Finally, based on the geographic distribution of Carex species they were classified into four regional range types. Overall, the range formation of the genus Carex in Saskatchewan took evolutionary a long time and was driven by latitudinal species migration in two directions – to the northern and to a lesser extent the southern boundary of the province. The genus Carex in Saskatchewan demonstrates much stronger biogeographical affinities to America, than to East Asia and Europe. There is a fairly high number of bipolar Carex species which are distributed in the province at high northern latitudes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.999

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)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 head0.019
GPT teacher head0.196
Teacher spread0.176 · 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 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

Citations5
Published2020
Admission routes3
Has abstractyes

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Same venueTHAISZIA - JOURNAL OF BOTANYSame topicBotany, Ecology, and Taxonomy StudiesFrench-language works237,207