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Record W2328164062 · doi:10.12705/626.3

The effect of preservation methods on plant morphology

2013· article· en· W2328164062 on OpenAlexaff
John Parnell, Tim C. G. Rich, Andrew McVeigh, Astrid Lim, Sean Quigley, David Morris, Z. H. Wong

Bibliographic record

VenueTaxon · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsTrinity College
Fundersnot available
KeywordsHerbariumTaxonShrinkageBotanyBiologyPlant speciesEcologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Application of conventional (plant pressing followed by air drying) and Schweinfurth drying techniques to different plant taxa is shown to result in both significant contraction and, occasionally, significant expansion of plant organs. The results are taxon dependent. The Schweinfurth drying process usually results in greater shrinkage than conventional drying. Herbarium specimens are shown to exhibit significant differences in the dimensions of plant organs as compared to fresh material. Organ accessibility and availability can also have an impact on the dimensions recorded and, as with the drying process, an impact on the correct recognition of taxa. The lack of discussion of these important differences, their impact on other taxonomic processes and suggestions for further investigation, for example the use of spirit preserved material and rehydration of herbarium material, are highlighted.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.254
Teacher spread0.232 · 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 designBench or experimental
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

Citations17
Published2013
Admission routes1
Has abstractyes

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