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Record W4366435716 · doi:10.37867/te140493

ANALYSIS OF WATER QUALITY THROUGH PHYSICO – CHEMICAL PARAMETERS OF THE REGION KHADIR BET, KACHCHH

2022· article· en· W4366435716 on OpenAlexaff
Ashmabanu Kazi, Harsh Patel, Archana Mankad

Bibliographic record

VenueTowards Excellence · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsImpact
Fundersnot available
KeywordsSodium adsorption ratioLivestockSodiumWater qualityEnvironmental scienceEnvironmental chemistryHydrology (agriculture)ChemistryGeologyAgronomyGeographyEcologyBiologyForestryGeotechnical engineering

Abstract

fetched live from OpenAlex

The present study was conducted to assess water quality using physico – chemical parameters. Water samples consumed by the livestock were collected from selected locations of Khadir bet, Kachchh region. The parameters analyzed include pH, EC, TDS, chloride, Ca+2 + Mg+2, Sodium, RSC (Residual sodium Carbonates), and SAR (Sodium Adsorption Ratio). Livestock lives in close proximity to humans, so the permissible limit of drinking water is the same in India. The results obtained in the analysis show that there were several parameters that were found to be beyond limits in the physico – chemical analysis. In the obtained result, it becomes clear that at some locations drinkable water used by the livestock is considerably polluted and unfit to be consumed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.293
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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