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Record W2982028201 · doi:10.4095/296912

Compositional variation of siderite and its significance in deciphering the diagenetic evolution of the Lower Cretaceous sedimentary system of the Scotian Basin

2015· report· en· W2982028201 on OpenAlexaff
Georgia Pe‐Piper, David J. W. Piper, Isabel Chavez, Yu Zhang, J Wisen

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsDiagenesisCretaceousSideriteGeologySedimentary rockPaleontologyStructural basinVariation (astronomy)GeochemistryCalcite

Abstract

fetched live from OpenAlex

Diagenetic siderite is widespread in the Scotian Basin with age ranging from sea-floor diagenetic to among of the last diagenetic products. Through the use of minor element chemistry five types of siderite have been identified. The relative ages of these five types of siderite have been established using their textural relationships in back-scattered electron (BSE) images, and through the use of petrographic microscopy. The studied siderites show extensive substitution of Mn and Mg and to a lesser extent of Ca for Fe, with the substitution of Mn for Fe being the most common in certain wells. Factors that may influence the chemistry of the diagenetic siderite include: chemistry of the circulating fluids, lithofacies, pre-existing detrital and diagenetic minerals, and availability of permeability. All these factors seem to have played a role in the chemistry of the studied siderites. The two competing mechanisms to produce the observed siderite chemical variability are regional basin hydrology and bio-mineralisation. Recrystallisation and re-precipitation of siderite are ubiquitous in most studied samples. They seem to be closely related with various dissolution events, syn-sedimentary deformation, and late regional salt tectonics. Of the dissolution events, late dissolution is especially enhanced in certain samples, and suggests the presence of very corrosive pore fluids. The best explanation for our data sets is the involvement of a variety of hydrogeological events. Factors that might have influenced the onset of these events include: regional tectonics, and in particular salt tectonics, transport of hydrocarbons, and overpressure, in addition to sea-level changes. Chemical evidence from siderite and associated minerals suggests that the circulating fluids that have influenced the precipitation of particular types of siderite must have changed drastically through time both in their chemistry and their temperature.

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: Other · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.129

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)0.0010.000

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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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
GenreOther

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

Citations1
Published2015
Admission routes1
Has abstractyes

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