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Record W6893879791 · doi:10.5281/zenodo.4907066

Gagea (sect. Stipitatae) Davlianidze

2011· article· en· W6893879791 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsMonophylyPollenCladeSensuGenus

Abstract

fetched live from OpenAlex

Gagea sect. Stipitatae (Pascher) Davlianidze All members of G. sect. Stipitatae were previously classified under G. sect. Platyspermum sensu lato (Pascher 1904, 1907, Stroh 1937, Uphof 1958 –1960). Gagea sect. Stipitatae, which comprises c. 60 species, is one of the largest sections in Gagea (along with G. sect. Gagea; Peterson et al. 2008). Peterson et al. (2008) included eight species from this section in their analyses. Since members of G. sect. Stipitatae were placed in four subclades in a clade that corresponds to clade D in Zarrei et al. (2009), this section must be merged with all other members of the clade D sensu Zarrei et al. (2009). Gagea chomutovae Pascher (1907: 372), G. gageoides and G. kunawurensis were included in the anatomical studies as members of G. sect. Stipitatae. These species exhibited type II and III pedicels and type IV basal leaves (Zarrei et al. 2010d). Gagea chomutovae, G. gageoides, G. kunawurensis and G. exilis of this section were included in a pollen morphological study by Zarrei & Zarre (2005); they exhibit four types of pollen that occur in other sections, so pollen characters do not support the monophyly of the section. Although there are several well-supported subclades composed of members of G. sect. Stipitatae, this section on its own is polyphyletic. For more information, see G. sect. Gagea and G. sect. Minimae below.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.080
GPT teacher head0.191
Teacher spread0.111 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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