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Record W4315795940 · doi:10.47413/vidya.v1i2.60

A REVIEW - IMPORTANCE OF PHYSICO-CHEMICAL PROPERTIES IN SOIL QUALITY

2022· review· en· W4315795940 on OpenAlex

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

VenueVIDYA - A JOURNAL OF GUJARAT UNIVERSITY · 2022
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Science and Fertilization
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental scienceOrganic matterSoil textureSoil qualitySoil fertilitySoil organic matterProductivityNitrogenAgronomyPhosphorusPotassiumSoil scienceSoil waterChemistryEcologyBiology

Abstract

fetched live from OpenAlex

The basic need of human beings for survival is food, clothes, and shelter which is completed through the medium of soil. Soil quality plays most important role in global cultivation of funnel wheat, rice, juvar, sugarcane, groundnut, vegetables, fruits, etc. For perception of physico-chemical properties of any soil is very important for good quality and quantity of food yielding. By this analysis the farmers are aware from economic productivity. Physico-chemical analysis of soil is consistent with the different parameters which include pH, Electric conductivity, Moisture, Texture, Temperature, nitrogen, phosphorus, potassium, Soil Organic Matter, etc.

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)0.001
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 score0.986
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.124
GPT teacher head0.289
Teacher spread0.164 · 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