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Record W1965638471 · doi:10.1038/nbt0609-514

Science communication reconsidered

2009· article· en· W1965638471 on OpenAlexaff
Tania Bubela, Matthew C. Nisbet, Rick Borchelt, Fern Brunger, Cristine Critchley, Edna Einsiedel, Gail Geller, Anil Gupta, Jürgen Hampel, Robyn Hyde-Lay, Eric W. Jandciu, Sally-Anne Jones, Pam Kolopack, Summer Lane, Tim Lougheed, Brigitte Nerlich, Ubaka Ogbogu, Colin Ouellette, Mike Spear, Stephen Strauss, Thushaanthini Thavaratnam, Lisa Willemse, Timothy Caulfield

Bibliographic record

VenueNature Biotechnology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of British ColumbiaCBC (Canada)Canadian Science Writers AssociationUniversity of TorontoPublic Health OntarioGenome CanadaNorth American Construction Group (Canada)Health CanadaStem Cell NetworkMemorial University of NewfoundlandUniversity of CalgaryUniversity of Alberta
FundersJohnson and Johnson
KeywordsComputational biologyBiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.022
metaresearch head score (Gemma)0.065
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.982
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.065
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.035
Scholarly communication0.0180.022
Open science0.0030.007
Research integrity0.0220.020
Insufficient payload (model declined to judge)0.0270.005

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 head0.249
GPT teacher head0.476
Teacher spread0.227 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations474
Published2009
Admission routes1
Has abstractno

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