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Record W2364545308

Phosphorus adsorption and desorption properties of three synthetic iron oxides and their relation to phosphorus adsorption saturation

2006· article· en· W2364545308 on OpenAlexaff
Shao Xing-hua, Lin Xian-yong, Du Shaoting, Moe Key

Bibliographic record

VenuePlant Nutrition and Fertilizing Science · 2006
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsAdsorptionHematiteGoethiteDesorptionSaturation (graph theory)Inorganic chemistryIron oxideChemistryPhosphorusAmorphous solidMaterials scienceMineralogyPhysical chemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

The differences of P adsorption-desorption characteristics of amorphous and crystalline iron oxides and their(relation) to P adsorption saturation were studied by using three synthetic iron oxides.The results showed that P adsorption properties of these three synthetic iron oxides could be described by Langumir equation with a correlation coefficient larger than 0.9 being statistical significant at 1% level.It was found by comprehensively taking Q_m(maximum quantity of adsorption),K(adsorption constant) and MBC(maximum buffing capacity) into account,ferrihydrate(amorphous) was much larger than crystalline iron oxides(goethite and hematite) in both intensity and capacity of P adsorption.P adsorbed by ferrihydrate was much more difficult to be desorbed than those by goethite and hematite.The large active surfaces of ferrihydrate contribute little on P desorption.It was suggested by our results that P adsorption saturation might be a promising integrated index for estimating the intensity and capacity of P adsorption-desorption in soils or iron oxides.

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 score0.087
Threshold uncertainty score0.576

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 science0.0000.000
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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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Same venuePlant Nutrition and Fertilizing ScienceSame topicIron oxide chemistry and applicationsFrench-language works237,207