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Record W2385600021

The Morphological Characteristics and Germination Rate of Wild Pteroceltis tatarinowii Seeds

2011· article· en· W2385600021 on OpenAlexvenueno aff
Liu Renyang

Bibliographic record

VenueSeed · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationBiologyHorticulturePopulationSignificant differenceStatistical analysisBotanyAnimal scienceMathematicsDemographyStatistics
DOInot available

Abstract

fetched live from OpenAlex

The seed morphological characteristics and its germination rate of wild Pteroceltis tatarinowii,which distributed in Daguisi national forest park of Hubei province,were studied in order to provide the scientific guidance for wild population's tending on site.The results showed that the average width of the fruits was 15.76 mm,the average widths of fruit's wings were 6.14 mm and 5.52 mm,the average thickness of seeds was 2.88 mm,the average length and width of seeds were 4.42 mm and 4.11 mm,respectively.The coefficients of variation among the indices were from 5.66% to 10.65%.The weightiness of a hundred seeds was 1.91 g and its coefficient variation was 15.65%.The germinability of Pteroceltis tatarinowii seeds at a week was 65.42%,and the germination rate at a month was 76.66%.The seeds were divided into three classes by seed thickness.The statistical analysis showed that there was significant difference in the weightiness of a hundred seeds,but there were no significant differences in the germinability and germination rate at three classes of seed.It indicated that there was no relationship between the weightiness and germinability,germination rate.

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 score0.028
Threshold uncertainty score0.160

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 head0.015
GPT teacher head0.201
Teacher spread0.186 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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