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Record W4293762573 · doi:10.53730/ijhs.v6ns4.11128

Evaluation of salivary sodium, chloride, magnesium and ionic calcium concentration in pregnant women

2022· article· en· W4293762573 on OpenAlexaff
Mimansha Patel, Divya Sao, Samidha Vivek Jambhekar, Mohit Kulmi, Ankit Sharma, Sarang Sharma

Bibliographic record

VenueInternational Journal of Health Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsSalivaMagnesiumCalciumSodiumPregnancyMedicinePhysiologyEndocrinologyObstetricsInternal medicineChemistryBiology

Abstract

fetched live from OpenAlex

Background” The purpose of this research was to examine the salivary groups of sodium chloride, magnesium, and calcium of unstimulated whole spit in pregnant women in three trimesters and compare the characteristics of non-pregnant women. Methods A longitudinal investigation. At the Acharya Vinoba Bhave Rural Hospital in Wardha, India, 75 women who were pregnant or were in the process of becoming pregnant and 75 women who were not pregnant were included in the study's sample of 75 pregnant and 75 non-pregnant women. Salivary Sodium, Chloride, Magnesium, and Ionic calcium concentrations were measured in unstimulated whole saliva. By using the Student t test and the ANCOVA, the data were examined (two-tailed α = 0.05). Results As the trimester progressed, the sodium, Chloride and ionic calcium concentrations continued to decline and magnesium levels were rising as the pregnancy progressed while the values in the non-pregnant women were in the normal range. Conclusion This research found differences in unstimulated whole saliva between pregnant and non-pregnant women.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 head0.069
GPT teacher head0.378
Teacher spread0.308 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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