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Record W2131911948 · doi:10.2110/jsr.2009.071

Cave Pearls—The Integrated Product of Abiogenic and Biogenic Processes

2009· article· en· W2131911948 on OpenAlexaff
Brian Jones

Bibliographic record

VenueJournal of Sedimentary Research · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtist diversity and phylogeny
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAbiogenic petroleum originCaveGeologyWolframiteGeochemistryEarth sciencePaleontologyArchaeologyGeographyEcologyChemistryBiology

Abstract

fetched live from OpenAlex

Abstract Cave pearls, up to 8 cm long, collected from dried-out rimstone pools in Old Man Village cave on Grand Cayman, British West Indies, have nuclei (e.g., bone) that are encased by laminated cortices. These laminae are composed of trigonal prismatic calcite crystals, calcite crystal bushes, or particulate calcite that is formed of filamentous microbes (four morphotypes), spores (seven morphotypes), extracellular polymers (EPS), disorganized and organized calcite fiber crystals, and detrital calcite grains. Syntaxial overgrowths modified many of the fiber crystals and the trigonal calcite crystals. Thin, laterally discontinuous growth lines are formed of micrite that may have been precipitated in a microbial mat. Growth of the cave pearls involved abiogenic and biogenic processes. The trigonal calcite crystals and crystal bushes probably formed abiogenically whereas the particulate calcite laminae appear to have formed as microbes trapped and bound detrital grains to the surfaces of the cave pearls and indirectly mediated precipitation of the fiber crystals. Water flow into the rimstone pools, which was linked to local rainfall, controlled the influx of detrital grains, water chemistry, and microbe growth into the pools and hence, the growth of the cave pearls. Periods of low water influx led to stagnation of pool waters that seemed to trigger periods of rapid abiogenic calcite precipitation and curtail microbial colonization. High flow rates slowed abiogenic calcite precipitation, promoted microbe growth, and fed detrital materials into the pools. Despite the lightless environment of the cave, the evidence clearly shows that the microbes and their associated EPS played a critical role in the growth and development of the cave pearls.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.202

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.322
Teacher spread0.288 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations39
Published2009
Admission routes1
Has abstractyes

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