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Record W2530575180

东马努斯海盆PACMANUS热液区Si-Fe-Mn氧化物的形成机制及其对热液活动的指示

2015· article· zh· W2530575180 on OpenAlexaboutno aff
杨宝菊

Bibliographic record

Venuenot available
Typearticle
Languagezh
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHydrothermal circulationElectron microprobeSeawaterGeologyMineralogyPourbaix diagramGeochemistryDissolutionChemistry
DOInot available

Abstract

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The samples of Si-Fe-Mn oxides were dredged from PACMANUS (Papua New Guinea-Australia-Canada-Manus) hydrothermal field in Eastern Manus Basin. Major, trace and  rare earth elements, Sr, Nd and Pb isotopic compositions were analyzed for studying the  genesises and geochemical characteristics, and analyzing the ore-forming material sources.  Utilizing Si, Fe and Mn concentrations within the end-member PACMANUS hydrothermal fluid,  Si-Fe-Mn-H 2 O thermodynamic systems-Pourbaix diagrams were constructed at 300°C and 25°C,  respectively. The diagrams illustrated the main Si, Fe and Mn oxides species, precipitating sequences and stability field of each species precipitating from the hydrothermal fluid. Based on microscopic textures, scanning electron microscopy (SEM) and electron probe microanalysis  (EPMA), typical biogenic filamentous structures were identified. The relationship between  biotic and abiotic kinetic mechanism in the formation of Fe oxides and the precipitation mechanism of amorphous silicon were researched. The genesises of the Si-Fe-Mn oxides were complicated. The geochemical characteristics  reflected a obvious hydrothermal origin, and diagenetic influence in the later period. However, seawater and volcanic materials did not make a big contribution. Sr and Nd in the hydrothermal Si-Fe-Mn oxides had two end-member sources (seawater and hydrothermal fluid). The seawater contributed a large amount of Sr about 76.7%-83.1% of total amount. Nd was mainly derived from hydrothermal  fluid and preserved the hydrothermal signature. Pb isotopic compositions showed  minor variability and was mainly derived from local basement rocks. The Pourbaix diagrams showed that the main Si, Fe and Mn oxides species precipitating from the hydrothermal fluid were SiO 2 , Fe(OH) 3 , Fe 3 (OH) 8 , Mn 3 O 4 , and Mn 2 O 3 at 25°C. During mixing of hydrothermal fluid with seawater, SiO 2 precipitated earlier than Fe-Mn oxides because of the lower stability boundary. Then Fe(OH) 2 precipitated first, followed by Fe 3 (OH) 8 and Fe(OH) 3 , and last, small amounts of Mn 3 O 4 and Mn 2 O 3 precipitated. Based on the physico-chemical conditions of PACMANUS hydrothermal fluid, a strict abiotic oxidation rate of Fe 2+ to Fe 3+ was calculated, which was approximately 0.012 g/min. 3.2 kg per year Fe oxides would be deposited in this vent. A mesh-like   microenvironment constructed by biogenic filaments ensured adequate Fe 2+ concentration and low oxygen content for the growth of bacteria. Moreover, this structure promoted the deposition of abiotic Si-Fe oxides. The precipitation of amorphous silicon was divided into two stages. In the first stage, amorphous silicon would precipitate on the Fe filaments. When the Fe-Si filaments were crusted, the second stage of precipitation of amorphous silicon began. In this stage, the size of Fe-Si filaments increased and a large amounts of globular rich in Si and Fe precipitating around these filaments.

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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.216
Teacher spread0.184 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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