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Record W2058337960 · doi:10.2134/agronmonogr46.c14

Rhizosphere Microorganisms and Plant Phosphorus Uptake

2005· book-chapter· en· W2058337960 on OpenAlex
Iver Jakobsen, Mary Leggett, Alan E. Richardson

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAgronomy monograph/Agronomy · 2005
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsAg-West Bio (Canada)
Fundersnot available
KeywordsRhizosphereMicroorganismRoot hairBulk soilMicrobial inoculantPhosphorusAgronomyBiologyBotanyChemistryEnvironmental scienceBacteriaHorticultureInoculation

Abstract

fetched live from OpenAlex

Soil microorganisms play a significant role in the transfer of phosphorus (P) within terrestrial ecosystems. Microbial processes in soil are important for the distribution of P between various inorganic and organic P fractions and subsequently for the potential availability of phosphate for plant acquisition. This chapter focuses on the contribution of soil microorganisms to plant nutrition through their capacity to increase the availability of soil P and its subsequent acquisition by plants. Emphasis is placed on the processes and mechanisms involved in P mobilization in relation to the rhizosphere. Microorganisms that interact with plant roots and their associated processes within the rhizosphere are of particular importance. Microbial influences on the availability and uptake of P by soil-grown plants are of both direct and indirect nature. Mycorrhizal fungi are effective in increasing the root-absorptive surface area, and microbial release of phytohormones may lead to enhancement of root branching and root hair development.

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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.177
Teacher spread0.163 · 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