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Record W2000383681 · doi:10.1139/b04-124

Incidence of geitonogamy differs between two populations in the hawkmoth-pollinated <i>Platanthera bifolia</i> (Orchidaceae)

2004· article· en· W2000383681 on OpenAlexvenueno aff
Johanne Maad, Lars Gunnar Reinhammar

Bibliographic record

VenueCanadian Journal of Botany · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsPollinatorPopulationBiologyPollenEcologyPollinationDemographySociology

Abstract

fetched live from OpenAlex

We estimated geitonogamy in individuals with different inflorescence sizes in a small (100–200 flowering individuals) and a large population (>700 flowering individuals) of the self-compatible, moth-pollinated orchid Platanthera bifolia (L.) L. C. Rich. (Orchidaceae). Geitonogamy was estimated as the percent reduction in pollen receipt by emasculated compared with control plants over seven nights. Geitonogamy in the small population was 23% and 38% during 2 years, respectively. In contrast, no geitonogamy was detected during a single flowering season in the large population. Geitonogamy did not vary with inflorescence size and emasculation had no impact on fruit set. The difference in geitonogamy between the populations in the present study may be related to pollinator abundance and behaviour. We suggest that incidence of geitonogamy will be higher if the pollinator carries smaller pollen loads when arriving at a plant because there will be a smaller fraction of cross-pollen carried after visiting one flower. Geitonogamy may be influenced by available number of mates, pollen load size, pollinator behaviour, and pollen carryover.Key words: geitonogamy, population size, inflorescence size, pollen-limitation, pollen carryover, self-pollination.

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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

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

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 head0.068
GPT teacher head0.248
Teacher spread0.180 · 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

Citations14
Published2004
Admission routes1
Has abstractyes

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