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Record W2968174598 · doi:10.5334/ijic.s3189

Early-career Researchers in Integrated Care: tips and tricks to effectively publish

2019· article· en· W2968174598 on OpenAlexaff
Henriikka Laurola, Nereide Alhena Curreri, Paul Wankah, Hannah Johnson, Mudathira Kadu

Bibliographic record

VenueInternational Journal of Integrated Care · 2019
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsUniversity of TorontoUniversité de Sherbrooke
Fundersnot available
KeywordsPublicationField (mathematics)Computer scienceLibrary scienceWorld Wide WebData sciencePolitical science

Abstract

fetched live from OpenAlex

The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 5.120 (2020 JCR, received in June 2021)

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)0.330
metaresearch head score (Gemma)0.569
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score0.826

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3300.569
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0100.007
Science and technology studies0.0200.033
Scholarly communication0.0550.080
Open science0.0080.035
Research integrity0.0260.062
Insufficient payload (model declined to judge)0.0280.032

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 head0.085
GPT teacher head0.411
Teacher spread0.327 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreMethods

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

Citations0
Published2019
Admission routes1
Has abstractyes

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