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Record W3035017142 · doi:10.5281/zenodo.3952258

Guillain-Barre Syndrome and Ayushman Bharat: Case Reports from a Tertiary Care Hospital of Himachal Pradesh, India

2020· article· en· W3035017142 on OpenAlexaboutno aff
Vineet Kumar, Anupam Badhan, Aarti Dhatwalia

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)PopulationMedicinePromotion (chess)Incidence (geometry)Tertiary careRehabilitationQuality (philosophy)PediatricsSocioeconomicsFamily medicineEnvironmental healthEconomicsMathematicsPolitical sciencePhysical therapy

Abstract

fetched live from OpenAlex

Universal health coverage (UHC) is defined as ensuring that all people have access to needed health services (including prevention, promotion, treatment, rehabilitation and palliation) of sufficient quality to be effective while also ensuring that the use of these services does not expose the user the financial hardship. To achieve UHC Government of India has started Ayushman Bharat; Pradhanmantri Jan Arogya Yojana to provide free secondary and tertiary level care to 500 million socially and economically unprivileged population of country. Guillain Barre Syndrome (GBS) is a relatively rare disorder, with an incidence ranging between 0.5 to 1.5 cases per 100,000 individuals in the population of 0-17 years. Ayushman Bharat covers GBS but the package assigned to it was not sufficient to cover its actual cost of treatment. Like Guillain Barrie Disease there may be some other diseases which are either not covered at all or inadequately covered. All these lacunae should be reported to the Government and authorities should take series note on these problems and they should be solved at the earliest.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicPeripheral Neuropathies and DisordersFrench-language works237,207