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Record W4402997251 · doi:10.31362/patd.1483808

Morphology in the last 10 years: a bibliometric analysis

2024· article· en· W4402997251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePamukkale Medical Journal · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDermatoglyphics and Human Traits
Canadian institutionsnot available
Fundersnot available
KeywordsMorphology (biology)Field (mathematics)PublishingBibliometricsLibrary scienceMedicinePolitical scienceLawComputer scienceZoologyBiology

Abstract

fetched live from OpenAlex

Purpose: Morphology is the science of structure, function and development. Many different disciplines work in this field of science. Bibliometric analysis is a method that examines the productivity, efficiency and performance of factors such as author, country and university. Materials and methods: In this study, the researches conducted in the field of morphology in the last 10 years were analyzed bibliometrically. Results: It was analyzed that 83214 studies were conducted in the last 10 years, the most studies were conducted at the Temerty Faculty of Medicine of the University of Toronto, the United States of America as the country and SCI-Expanded index. Elsevier publishing house is the most used publishing house and neuroscience is the field of science with the highest number of publications. Conclusion: Studies in the field of morphology, which has shed light on other branches of science throughout history, have been increasing in the last 10 years. In our study, it is aimed to guide scientists who will conduct research in the field of morphology in the future.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.019
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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