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Record W2737132765 · doi:10.15625/0866-7187/33/1/281

ĐẶC ĐIỂM QUẶNG HÓA VÀ KHOÁNG VẬT CÁC MỎ KẼM CHÌ KHU VỰC LÀNG HÍCH

2011· article· en· W2737132765 on OpenAlexaboutno aff
Phạm Ngọc Cẩn, Trần Tuấn Anh, Trần Trọng Hòa, Phạm Thị Dung, Ngô Thị Phượng, Trần Quốc Hùng, Bùi Ấn Niên, Nguyễn Viết Ý, Trần Văn Hiếu

Bibliographic record

VenueVietnam Journal of Earth Sciences · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGeochemistry and Geochronology of Asian Mineral Deposits
Canadian institutionsnot available
Fundersnot available
KeywordsSphaleritePyriteMineralMineralogyGeologyGeochemistryMetallurgyMaterials science

Abstract

fetched live from OpenAlex

Chemical and mineralogical characteristics of Zn-Pb ores in Lang Hich areaLang Hich ore deposit consisting of 6 mining places (West Metis, East Metis, Hang Chua, Bac Lau, Mo Ba - 1Aoven, Mo Ba - 1B) was discovered in 1905 and has been exploited since 1913. Anually, the mine have been exploited ~20000 T, inspite of lacking detail investigation in mineralogy and chemistry of ores.Two mineral assemblages have been clafsified in Lang Hich deposit as followed : 1) pyrite-galenite-sphalerite (Metis,Mo Ba), 2) galenite-sphalerite (Bac Lau, Hang Chua). Basically, sphalerites, have low Fe, In contents ; Bi is medium ; Mn and Cd is high, especially, Cd have very high content. While galenite contains Ag at economical value, besides, the presence of Sb is recored. Other investigation also shows the existing of tetraedrite group, an Ag bearing mineral group, and bournonite, a Sb bearing mineral.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.219
Teacher spread0.165 · 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.

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

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

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