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Record W2362960253

Analyze on the heavy metals content in China commodity organic fertilizer

2012· article· en· W2362960253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Pollution & Control · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Quality and Pollution
Canadian institutionsnot available
Fundersnot available
KeywordsFertilizerOrganic fertilizerHeavy metalsCompostRaw materialCommodityEnvironmental chemistryManureEnvironmental scienceChemistryWaste managementAgronomyBusinessEngineering
DOInot available

Abstract

fetched live from OpenAlex

The content of heavy metals in 118 commodity organic fertilizer samples which collected from 10 districts and produced by different raw materials were analyzed.The results showed that the average contents of Cd,Hg,Pb,Cr,As,Zn,Cu,Ni were 0.600,0.120,7.34,84.30,9.45,202.91,91.06,11.01 mg/kg respectively.The average content of heavy metals was relative higher in commodity organic fertilizer of Henan,Hubei,Shanghai;the average Cr content in Inner Mongolia fertilizer samples and average Zn content in Guangxi fertilizer samples was 20.32,51.36 mg/kg respectively,which was lower than average Cr,Zn content of all fertilizer samples.The commodity organic fertilizer samples produced by pig manure had the highest heavy metal content.In reference to the limit indexes of heavy metals in commodity organic fertilizer in China,heavy metal limitations standard in Europe and heavy metal limitations standard of compost in Canada(Category A and Category B),Cr exceeded all those four limitations standard;As,Cd could only meet the Category B of Cananda limitations standard;Cu,Zn exceeded the limitations standard of European and Category A of Cananda;Hg exceeded the Category A limitations standard of Cananda;Pb exceeded the limitations standard of Chinese;Ni could meet all these four limitation standards.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.005

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 head0.024
GPT teacher head0.225
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