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Record W6963954518 · doi:10.21963/12530

Vascular synphenology of plant communities around Cambridge Bay, Victoria Island, Nunavut during the growing season of 2015

2015· dataset· en· W6963954518 on OpenAlexaboutno aff

Bibliographic record

VenueCanadian Cryospheric Information Network · 2015
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhenologyGrowing seasonHerbaceous plantBayPlant communityVascular plantEcosystemGraminoid

Abstract

fetched live from OpenAlex

The phenology (the timing of life cycle events) of the most representative vascular species in ecosystems around Cambridge Bay (synphenology) has been recorded during the growing season of 2015, from mid-June to beginning of September. Vegetative (leaf) as well as generative (flower and seed) development in shrubby, herbaceous and graminoid plant species have been assessed at weekly intervals using a phenological key with 11 phenological stages, from the development of the first leaf/first floral bud to leaf death/seed dispersal (see data for phenological key). Additionally, the different phenological stages of plants were documented also by digital photographs taken at the time of phenological assessment (not all plants/sites surveyed and photographed are in the data sheet). The phenological development of plant species is strongly dependent on seasonal variations in environmental factors, especially temperature. Phenological records of entire plant communities over periods of many years can serve therefore as invaluable proxies for interannual changes in temperature due to climate change and global warming. The datafiles are available in both excel and csv format.

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)0.002
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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.089
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.011
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.006

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 head0.009
GPT teacher head0.206
Teacher spread0.196 · 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
GenreDataset

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
Published2015
Admission routes1
Has abstractyes

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Same venueCanadian Cryospheric Information NetworkFrench-language works237,207