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Record W7095089806

pale alpine forget-me-not Status: State Sensitive

2012· article· en· W7095089806 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInflorescencePerennial plantGenusTaxonInsect
DOInot available

Abstract

fetched live from OpenAlex

Eritrichium nanum var. elongatum is a blue-flowered, long-lived perennial that is typically 2-8 in. tall, has a dense cluster of long-hairy leaves at the base that are cushion-like, and single leaves alternating on the flower stem. The stems are not apparent or are slender, hairy and up to 4 in. (10 cm) tall. The leaves are mostly oblong or narrowly oblong to ovate, often blunt at the tip, and up to 1/3 in. (1 cm) long and 1/16 in. (1 mm) wide. The leaves are loosely long-hairy, and the surface of the leaf is readily visible at maturity between the hairs. The hairs on the leaf often form a fringe or tuft near the leaf tip. The flower is 1/8 to in. (3-7 mm) wide, and the 1-4 fruits are smooth. E. nanum var. elongatum differs from the typical European E. nanum var. nanum only in being more densely hairy. Identification Tips: This is the only taxon of Eritrichium in Washington. The genus Eritrichium superficially looks like the genus Myosotis, but does not have an inflorescence that is curled into a helix, and Myosotis is not cushion-like. Other similar species are either white, or do not grow in the same rocky, high elevation habitat. Phenology: This taxon blooms from June through August. This species was observed flowering in Washington in mid-July. Range: Eritrichium nanum var. elongatum is circumboreal and occurs irregularly from Eurasia to Alaska and Yukon, south from Montana to

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)0.001
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: none
Teacher disagreement score0.099
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0990.016

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 head0.226
Teacher spread0.193 · 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
Published2012
Admission routes1
Has abstractyes

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