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Record W2017504489 · doi:10.4141/p03-176

Does pollen abortion increase with plant age?

2005· article· en· W2017504489 on OpenAlexvenueno aff
Ashoke Bhattacharya

Bibliographic record

VenueCanadian Journal of Plant Science · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsnot available
FundersSmithsonian Tropical Research InstituteSmithsonian Institution
KeywordsPollenBiologyAbortionOvuleAnacardiaceaeBotanyPollinationPregnancy

Abstract

fetched live from OpenAlex

The large tropical forest tree, Anacardium excelsum (Bertero & Balb. Ex Kunth) Skeels, of the family Anacardiaceae, was studied in Panama. Using Alexander’s stain, which differentiates aborted and non-aborted pollen, the proportion of aborted pollen versus plant age, size variation in aborted and non-aborted pollen and pollen:ovule ratio were estimated. Aborted pollen was smaller than non-aborted pollen regardless of plant age. The proportion of aborted pollen varied from 15.8 to 54.7% showing a steady increase with plant age, and the pollen:ovule ratio also increased with age. These results support the qualitative prediction that pollen abortion gradually increases with ageing reflecting an increase in genetic load with age. Key words: Age effect, reproductive success, tropical forest

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)0.001
metaresearch head score (Gemma)0.003
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.171
Teacher spread0.168 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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