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Record W2143040393 · doi:10.1080/02705060.2005.9664779

Macroinvertebrates Occurring in Sunbeam Hot Springs, an Absolutely Hot Spring in Idaho, USA

2005· article· en· W2143040393 on OpenAlexaboutno aff
Grant D. De Jong, Steven P. Canton, James W. Chadwick

Bibliographic record

VenueJournal of Freshwater Ecology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSpring (device)Hot springInvertebrateEcologyEnvironmental scienceGeographyBiologyEngineeringPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT On five occasions from 2000 to 2002, we sampled the macroinvertebrate fauna of the Sunbeam Hot Springs in central Idaho, USA. Spring surface water temperatures ranged from 52 to 58°C, and a relatively depauperate community was found, which comprised Coleoptera, Diptera, Hydracarina, and Ostracoda. The community varied little among the sampling dates, with total animal density of 86–168 ind./m2 and total richness of seven taxa. The fauna of the Sunbeam Hot Springs resembles the fauna reported from hot springs in Washington, Alberta, and British Columbia more that the fauna from hot springs of Yellowstone National Park. The aquatic beetle Hydroscapha natans, a southern species not common to either the Pacific Northwest or Yellowstone, was collected in this Idaho hot spring.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2005
Admission routes1
Has abstractyes

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