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Record W4230756748 · doi:10.2134/agronmonogr23.2ed.c6

Soil Fertility

2006· book-chapter· en· W4230756748 on OpenAlex
Alan J. Schlegel, Cynthia A. Grant

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 · 2006
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSoil fertilityFertilityEnvironmental scienceGeographySoil scienceSoil waterSociologyDemographyPopulation

Abstract

fetched live from OpenAlex

This chapter reviews the soil fertility aspects of cropping systems in dryland regions. Certain trace elements may reduce crop quality, impair productivity, or transfer through plant uptake into the food chain leading to health concerns in livestock and humans. The trend toward greater cropping intensity and reduced fallow is expected to continue with more adoption of continuous cropping. Management practices to improve functional or nutritional quality of crops grown for food may become increasingly important. Pharmaceutical crops may be grown that contain nutraceutical phytochemicals that may aid in the prevention of treatment of cancer, hypertension, heart disease, and a range of other ailments. Phosphorus deficiency can reduce both respiration and photosynthesis, but when respiration is reduced more than photosynthesis, carbohydrates will accumulate, leading to dark green leaves. Phosphorus seemed to delay whole plant and tiller senescence, which would contribute to both high grain yields and high protein concentration.

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: none
Teacher disagreement score0.561
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.194
Teacher spread0.178 · 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