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Record W3198379561 · doi:10.37506/ijfmt.v15i3.15924

A Study of Pattern of Snake-Bite Cases Admitted to Hospitals in Bagalkot

2021· article· en· W3198379561 on OpenAlexaff
G. V. Shilpashri, Vinay Manjunath Raj, V. H. Kelvekar, Dayanand, C S Kapse

Bibliographic record

VenueIndian Journal of Forensic Medicine & Toxicology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedicineSnake bitesFoot (prosody)PediatricsDemographyEnvenomationBiology

Abstract

fetched live from OpenAlex

Objectives: The present study was under taken to know the Sociodemographic profile of snake bite victims.Methods: This is a Hospital based case series study which included snake bite cases of both sex groups and all agegroups who presented with history of snake bite or history of unknown bite with clinical features suggestiveof snake bite admitted to HSK Hospital and all private Hospitals of Bagalkot city in one year duration from 15thApril 2010 to 14th April 2011. Results: Of the 75 cases, maximum victims were males 61.4%. Maximum 60%victims belonged to 20-49 yrs age group. There was a statistically significant difference in the occurrence of casesin the age group of 20-49yrs and also among males of the same age group. Majority of victim 93.3% belongedto rural region which was statistically significant and 60% of the victims were farmers by occupation. Most ofthe bites 60% occurred in fields. Bites were more 37.3% between 12.01PM to 6PM and during monsoon season60.1%. Most common site of bite was foot 45.3%. Krait was the most commonly identified snake and most of itsbites were between 12.01AM to 6AM.

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)0.001
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 score0.309
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.296
Teacher spread0.275 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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