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Record W4391345348 · doi:10.21203/rs.3.rs-3825610/v1

Allocation to sexual and asexual reproduction was uniform in spite of environmental gradients in case of the moss Polytrichum juniperinum in the low arctic

2024· preprint· en· W4391345348 on OpenAlexaffabout
P. Koncz, Paul Marino

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMossAsexual reproductionSexual reproductionReproductionGemmaEcologyBiologyArcticBotany

Abstract

fetched live from OpenAlex

Abstract The relative allocation within a plant species of asexual vs. sexual reproduction is predicted to vary according to changing environmental conditions. In bryophytes, sex expression is predicted to be reduced in unfavourable environments because sporophyte maturation is resource‒limited. The allocation between reproductive strategies in the bryophyte, Polytrichum juniperinum was examined in the low‒arctic Torngat Mountains (Labrador, Canada) in 2008/2009 along both an elevation and moisture gradient. Using genetic markers, no pattern was observed in the allocation between sexual and asexual reproductive strategies among the different environmental conditions. Although all populations showed evidence of sexual reproduction, effective sexual reproduction was depressed along both gradients. All populations showed high rates of fertilization among closely related ramets that resulted in inbreeding. This might limit the capacity to maintain high genetic diversity in local populations, which would be favoured in an environment experiencing warming.

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 score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.308
Teacher spread0.275 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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