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Research Output and Publications Impact of Postgraduate Institute of Medical Education and Research Chandigarh (1999-2008)

2012· article· en· W2170752317 on OpenAlexaff
Sharma Rk, JS Thakur, Raj Kumar, BM Gupta, Kiran Baidwan, Adrash Bala Goyal

Bibliographic record

VenueJournal of Postgraduate Medicine Education and Research · 2012
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsImpact
Fundersnot available
KeywordsScopusMultidisciplinary approachLibrary scienceMedical educationMedical journalMedicinePolitical scienceSocial scienceSociologyMEDLINEComputer science

Abstract

fetched live from OpenAlex

ABSTRACT This paper attempts to analyze the research activities of the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh as reflected in its 10 years cumulative (1999-2008) publications output covered in Scopus International multidisciplinary bibliographical database. The present study analyses the broad characteristics of 4,771 research papers published by the faculty members of PGIMER, Chandigarh by focusing on its publication growth characteristics, format and media of communication, research impact and quality, patterns of research collaboration, broad and narrow areas of research focus and characteristics of its high cited papers. How to cite this article Kumar R, Gupta BM, Thakur JS, Sharma RK, Baidwan K, Goyal AB. Research Output and Publications Impact of Postgraduate Institute of Medical Education and Research Chandigarh (1999-2008). J Postgrad Med Edu Res 2012;46(3):129-137.

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)0.007
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.038
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0340.068
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.437
GPT teacher head0.650
Teacher spread0.213 · 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.

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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