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Record W7022784205

废碱锰电池焙烧过程中汞的形态研究

2006· other· zh· W7022784205 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repository of Guangzhou Institute of Energy Research, Chinese Academy of Sciences · 2006
Typeother
Languagezh
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DysgeusiaLiquationDiafiltrationEmperipolesisTriacetinDemotion
DOInot available

Abstract

fetched live from OpenAlex

以废碱锰电池为试验材料,在小型管式炉中进行焙烧实验.借鉴燃煤中汞的形态研究分析方法(Ontario-Hydro分析法)研究了废碱锰电池焙烧过程中汞的形态及其分布.结果表明,汞脱除率达100%,尾气中总汞浓度为186.41~194.86mg·m^-3,Hg^0占气态汞总量的82.88%~86.64%,Hg^占6.02%~6.29%.研究结果说明在本试验条件下,废碱锰电池中的汞在焙烧+过程中绝大部分以单质形式进入尾气,实际生产中可直接将尾气通过强制冷却,使汞冷凝,达到回收目的.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0080.010
Science and technology studies0.0030.087
Scholarly communication0.0000.003
Open science0.0080.002
Research integrity0.0020.003
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 head0.061
GPT teacher head0.371
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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