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Record W3212175697 · doi:10.7185/gold2021.6766

Tracking redox reactions in Saanich Inlet from the water column to early diagenetic pyrite formation

2021· article· en· W3212175697 on OpenAlexaff
Maria Figueroa, Daniel D. Gregory, Ravi Kukkadapu, Timothy W. Lyons

Bibliographic record

VenueGoldschmidt2021 abstracts · 2021
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPyriteDiagenesisRedoxWater columnInletGeologyGeochemistryChemistryOceanographyInorganic chemistry

Abstract

fetched live from OpenAlex

Geochemical proxies used widely to reconstruct global paleodepositional systems require further calibration and validation in a wider range of oxygen-poor settings. The redox threshold values associated with various proxies (e.g., Fespeciation, trace-metal enrichments) can vary considerably among depositional systems and, for this reason, geochemical proxies should be scrutinized in multiple modern depositional systems of diverse redox characteristics-both stable and dynamic. Here, we provide a detailed study of Saanich Inlet, a semi-restricted fjord-like basin noted for high-frequency redox variation. Bottom water and sediment samples were collected in July 2019 when complete anoxia developed below 130 m water depth. We present data from the seasonally anoxic basin (200 m) and the oxygenated margin (100 m) to compare how spatiotemporal variations in redox condition impact the cycling of iron, sulfur, and trace metals in the bottom waters as recorded in bulk sediments, porewaters, and pyrite.

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 score0.953
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.017
GPT teacher head0.224
Teacher spread0.207 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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