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Record W2374899595

Role of CO_2 fluid in the formation of gold deposits:Fluid inclusion evidences

2008· article· en· W2374899595 on OpenAlexaff
Huanzhang Lu

Bibliographic record

VenueGeochimica · 2008
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsFluid inclusionsHaliteInclusion (mineral)GeologyMineralCO2 contentDeposition (geology)Aqueous solutionGeochemistryMineralogyPhase (matter)CalciteChemistryCarbon dioxideHydrothermal circulationGypsum
DOInot available

Abstract

fetched live from OpenAlex

Much of gold deposits formed from hot,aqueous fluids rich in carbon dioxide,but only minor significance has been paid attention to the role of the CO2 in the process of gold transport and deposition.Fluid inclusion,alteration assemblage and phase diagram are the clues to understand this importance issues.There are four types of fluid inclusions existed in the most of gold deposits:aqueous inclusion,H2O-CO2 inclusion,CO2 or CO2 rich inclusion and halite daughter mineral bearing ones.The distribution of aqueous and CO2 inclusions are located generally in different trails,only a few located in same trail,indicating the phase separation of fluids.The relationship between native gold and CO2 inclusions are either they occur in a same trail or the native gold occur inside the CO2 inclusions,as well as native gold occur at the wall of CO2 inclusions.It shows they are closely associated during the transportation and deposition.The composition of CO2 inclusions indicate most are CO2 with minor of H2S and CH4,etc.that was proved by the Tm(CO2)measurements.Phase features between H2S and CO2 fluids are very similar but the role of CO2 is served as buffer for the pH of the ore forming fluid and the H2S which formed complexes(AuH2S or AuHS)with gold in the fluid during the transport.When the hot(200-400 ℃)medium salinity ore forming fluid went up and took place of phase separation into CO2 rich(with Au)fluid and aqueous fluid,and deposited the gold with the CO2 rich flu id.

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 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 score0.079
Threshold uncertainty score0.223

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 science0.0010.001
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 head0.015
GPT teacher head0.216
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 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

Citations15
Published2008
Admission routes1
Has abstractyes

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