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Record W3103936309 · doi:10.1017/s1742170520000319

Evaluation of two commercial fungal inoculants for improving phosphorus supply to crops grown in soils with contrasting management histories

2020· article· en· W3103936309 on OpenAlexaffabout
J. Diane Knight

Bibliographic record

VenueRenewable Agriculture and Food Systems · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMicrobial inoculantAgronomyPhosphorusCropSoil waterBiologyInoculationEnvironmental scienceHorticultureChemistryEcology

Abstract

fetched live from OpenAlex

Abstract Two fungal inoculants are commercially available in Canada and the USA that target improving plant access to soil phosphorus (P). Arbuscular mycorrhizal fungi and Penicillium bilaiae were used to inoculate wheat, lentil and flax grown in an organically-managed and a conventionally-managed soil. A second crop was grown after freezing the soil to evaluate if the inoculants carried over to a second crop. Crops in the organically managed soil were smaller and took up less P than the same crop in the conventionally managed soil. Inoculation with either inoculant improved shoot growth and P uptake in wheat grown in the organically-managed soil and in lentil grown in the conventionally-managed soil. Co-application of the inoculants was never superior to the single inoculants. Carry-over effects were slight and inconsistent.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.758

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 head0.027
GPT teacher head0.224
Teacher spread0.197 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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