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Record W7099199190

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2015· article· en· W7099199190 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPunctuationSubject (documents)AcknowledgementCitationBibliographyStyle (visual arts)Order (exchange)Paragraph
DOInot available

Abstract

fetched live from OpenAlex

· A list of references contains details only of those works cited in the text. · A bibliography lists sources not cited in the text but which are relevant to the subject and were used for background reading. · Before you compile your bibliography/reference list check with your lecturer/tutor for the bibliographic style preferred by the Academic Department. · A citation is an acknowledgement in your text of references that support your work. It is in the form of a number that correlates with a source in your reference list. · There are many ways of setting out bibliographies and reference lists. The following are examples of one style – the Vancouver System. It is commonly used in medical and scientific journals. · Your reference list should identify references cited (eg. book, journal article, pamphlet, internet site, cassette tape or film) in sufficient detail so that others may locate and consult your references. · Your reference list should appear at the end of your essay/report with the entries listed numerically and in the same order that they have been cited in the text. · If you have cited sources from the Internet, these should be in your reference list. · The bibliography is a separate list from the reference list and should be arranged alphabetically by author or title (where no author is given) in the Vancouver Style. · Punctuation marks and spaces in the reference list and citations are very important. Follow the punctuation and spacing exactly in the examples given.

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 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)0.002
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.339
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.014

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 head0.606
GPT teacher head0.629
Teacher spread0.023 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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Same topicMedical Research and PracticesFrench-language works237,207