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Record W2177461195 · doi:10.2110/palo.2006.p06-026

GROWTH OF SILICEOUS SPICULES IN ACIDIC HOT SPRINGS, WAIOTAPU GEOTHERMAL AREA, NORTH ISLAND, NEW ZEALAND

2006· article· en· W2177461195 on OpenAlexafffund
Brian Jones, Robin W. Renaut

Bibliographic record

VenuePalaios · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSponge spiculeGeothermal gradientGeologyHot springOceanographyGeochemistryPaleontologyEarth science

Abstract

fetched live from OpenAlex

Abstract Siliceous spicules, typically ≤3 cm high and ≤5 mm in diameter, are common just above water level alongside hot-spring pools and channels in the Waiotapu geothermal area of New Zealand, which contain waters of 50–80°C and pH of 1–3. These structures are formed of irregular sequences of silicified Cyanidium mats, silicified Alicyclobacillus mats, and homogeneous opal-A laminae. Allochthonous microorganisms (e.g., diatoms) form a minor part of the silicified biota. Lamina boundaries are discontinuities that reflect pauses in opal-A precipitation. Barite, gypsum, and kaolinite crystals were precipitated on the spicule surfaces during these periods. Opal-A precipitation on subaerial spicules occurs when SiO2-rich fluid is delivered by (1) splashing water and spray, (2) temporary inundation by surging spring water, wind-driven waves, or local changes in the water table following periods of heavy rain, (3) steam condensate, and/or (4) capillary action. These abiogenic processes work in conjunction with biogenic processes controlled by microbial mats, which become temporarily established on spicule surfaces when conditions permit. These mats mediate spicule construction as they become silicified, providing substrates for opal-A cement precipitation. Nevertheless, stromatolite morphology cannot be attributed to a particular taxon because different localities have different microorganisms involved with spicule growth.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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 teacher head, not a consensus.

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

Citations18
Published2006
Admission routes2
Has abstractyes

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