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Record W3004766691 · doi:10.2138/am-2020-7234

Pyrite: Fool's gold records starvation of bacteria

2019· article· en· W3004766691 on OpenAlexaff
Daniel D. Gregory, Matthew J. Kohn

Bibliographic record

VenueAmerican Mineralogist · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPyriteStarvationBacteriaChemistryGeologyMineralogyBiologyPaleontology

Abstract

fetched live from OpenAlex

Pyrite (FeS2) is the most common sulfur-bearing mineral in the Earth’s crust and can be found in all major types of rock: igneous, metamorphic, and sedimentary. It is the shiny, brass-colored mineral that you may know as fool’s gold because it looks like gold and has fooled people throughout recorded history (Fig. 1). In some areas, it can be observed at the sides of roads or trails, especially where the ground has been recently disturbed. If you have ever caught the scent of rotten eggs while digging at the beach, in mud flats, or swamps, you were probably in an area where pyrite was forming. That smell is caused by hydrogen sulfide (H2S), and the black or blue muds that you were digging in would have contained microscopic pyrite that formed when the hydrogen sulfide that you smelled bonded with iron in the pore waters (Rickard 2012).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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