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Record W3001869323 · doi:10.2217/rme-2019-0092

Contact Us for More Information: An Analysis of Public Enquiries about Stem Cells

2019· article· en· W3001869323 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRegenerative Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsStem cellData scienceComputational biologyBiologyCell biologyComputer science

Abstract

fetched live from OpenAlex

Aim: This study examines online enquiries received by two prominent stem cell science initiatives operating in different geographical jurisdictions. Materials & methods: Combined quantitative and qualitative analysis undertaken of internet-based queries (n = 1047) received by Stem Cells Australia and EuroStemCell from members of the public over a two-year period (May 2014–2016). Results: Findings reveal striking similarities between the two datasets and highlight the range of uncertainties, priorities and needs of those seeking information about stem cells online. Conclusion: Sustained and in-depth tailored guidance is needed to effectively meet the diverse stem cell-related information-based needs of communities internationally. Such efforts should be prioritized by regenerative medicine research initiatives and organizations, given the trust and hope diverse publics appear to place in these groups.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.332
Teacher spread0.286 · 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