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Record W4324375242 · doi:10.1007/s44246-023-00038-4

Chemical composition, sources, and ecological effect of organic phosphorus in water ecosystems: a review

2023· review· en· W4324375242 on OpenAlexaff
Weiying Feng, Tengke Wang, Yuanrong Zhu, Fuhong Sun, John P. Giesy, Fengchang Wu

Bibliographic record

VenueCarbon Research · 2023
Typereview
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsUniversity of Saskatchewan
FundersNational Key Research and Development Program of ChinaFundamental Research Funds for the Central UniversitiesNanjing UniversityState Administration of Foreign Experts AffairsBaylor UniversityChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsBiogeochemical cycleEnvironmental scienceEutrophicationEnvironmental chemistryWater cycleEcosystemNutrientOrganic matterTotal organic carbonPhosphorusCarbon cycleSedimentEcologyChemistryBiology

Abstract

fetched live from OpenAlex

Abstract Phosphorus (P) affects the water–air CO 2 flux through primary productivity, and affects the changes of carbon cycle and ecological environment in the global world. Organic phosphorus (Po) is an important P component in water environments. Various processes control the formation and transformation of Po and outbreaks of algal blooms. Here, research topics on Po in global water over the past 50 years are systematically reviewed to understand the progress in the (i) Po pretreatment techniques in various media, (ii) technical methods and qualitative and quantitative research on chemical composition of Po and bioavailability, (iii) source analysis of and factors affecting Po in different media of water environments and biogeochemical processes, (iv) interactions among Po, organic matter, and minerals, and their environmental behaviors, and (v) quantification of material exchanges at the sediment–water interface, interfacial processes, and ecological effects. Finally, the future research directives regarding Po in water environments are discussed. The findings provided an important scientific basis to formulate and revise global standards for water nutrients and a better understanding of water eutrophication and its control. Graphical Abstract

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.875
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.346
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations94
Published2023
Admission routes1
Has abstractyes

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