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Record W2303449247 · doi:10.14288/1.0097337

Biogeography of the montane moss flora of southwestern British Columbia and northwestern Washington State

2010· article· en· W2303449247 on OpenAlexaboutno aff
John R. Spence

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMossBiogeographyMontane ecologyFlora (microbiology)GeographyEcologyState (computer science)ForestryArchaeologyBiologyPaleontology

Abstract

fetched live from OpenAlex

restricted species appear to have distributions coincident with the northern and southern limits of the Wisconsin ice sheets. The study area has the largest number of montane-restricted species of nine sites examined in western North America. The area may have served as a refugium for these species during glaciation. At the study area level, few distributions related to glaciation appear to exist. Most can be correlated with climate (especially precipitation) and habitat factors. A group of species with their centers of distribution in the more continental portions of interior western North America occur west of the Coast Ranges-Cascades crest in coastal areas. The largest concentration of these is in the dry northeastern Olympic Mountains. A combination of habitat restrictions, rarity, lack of sporangium production and disjunct distributions from the interior suggest that the majority of these species may have migrated into coastal areas during the Hypsithermal, with subsequent restriction to xeric sites (especially basic rock such as sandstone) during the cooler and wetter Neoglacial. Many of these species are concentrated in plant communities in the northeastern Olympic Mountains that are also suggested to be relictual.

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 score0.107
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.008
GPT teacher head0.150
Teacher spread0.143 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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