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Record W1982863682 · doi:10.4103/0378-6323.41397

Observational studies: How to go about them?

2008· review· en· W1982863682 on OpenAlexaff
Maninder Singh Setia

Bibliographic record

VenueIndian Journal of Dermatology Venereology and Leprology · 2008
Typereview
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsMcGill University
Fundersnot available
KeywordsObservational studyPsychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Bioline International is an archived version of the "Bioline International" website that functioned as a not-for-proft scholarly publishing cooperative. This archived site contains web content, including text, images and URLs for internal links from the "http://www.bioline.org.br" domain The "Bioline International" website was a platform for hosting peer-reviewed and open access journals published in developing countries in fields such as public health, tropical medicine, international development, food and nutritional security, and biodiversity. The platform was conceived as a way of reducing the South to North kowledge gap, improving the visibility of essential research and knowledge from local and regional sources in developing countries across the world, and supporting the progress of science to develop a gobal-scale knowledge base in its fields of concern. Bioline International was launched in 1993 as a joint project between the Tropical Database (now, The Reference Center on Environmental Information) in Barzil and The Electronic Publishing Trust for Development in the United Kingdom. The CRIA provided server hosting, administration and development, which The EPT oversaw content management, project development and research. In 2000, The UTSC Library and UTSC's Department of Social Sciences took over the role previously occupied by The Electronic Publishing Trust for Development.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.115
GPT teacher head0.353
Teacher spread0.237 · 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
GenreReview

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

Citations5
Published2008
Admission routes1
Has abstractyes

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