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From Abstract to Publication: The Fate of Research Presented at an Annual Forensic Meeting

2010· article· en· W1949364624 on OpenAlexaff
Silvia Tambuscio, Elie Boghossian, Anny Sauvageau

Bibliographic record

VenueJournal of Forensic Sciences · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsOffice of the Chief Medical Examiner
FundersAmerican Academy of Forensic Sciences
KeywordsForensic sciencePresentation (obstetrics)JurisprudenceLibrary scienceSection (typography)MedicineLawPolitical scienceComputer scienceVeterinary medicineSurgery

Abstract

fetched live from OpenAlex

In forensic sciences, the fate of abstracts presented at international meetings has not yet been assessed. The purpose of this study is to estimate publication ratio and evaluate possible predictors of publication after the 58th edition of the 2006 American Academy of Forensic Sciences annual meeting. Section of the meeting, type of presentation (oral platform or poster), number of authors per abstract and per paper, time span to publication, countries involved, and journal of publication were tabulated. A total of 623 abstracts were presented, from which 102 were subsequently published as a full paper. The overall publication rate was 16.4%, ranging from 3.4% (jurisprudence) to 28.8% (toxicology). The type of presentation (oral platform or poster) did not significantly affect the outcome of the abstract. However, a higher number of authors, foreign authors, and international collaboration were found to be good predictive factors of publication.

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)0.168
metaresearch head score (Gemma)0.559
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1680.559
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0170.022
Science and technology studies0.0020.001
Scholarly communication0.0100.007
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0130.006

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 head0.726
GPT teacher head0.582
Teacher spread0.144 · 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
DomainReporting
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

Citations13
Published2010
Admission routes1
Has abstractyes

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