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Record W1542056850

McMaster Premium Literature Service (PLUS): an evidence-based medicine information service delivered on the Web.

2005· article· en· W1542056850 on OpenAlexaffabout
Jennifer L. Holland, R. Brian Haynes

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsService (business)Computer scienceWorld Wide WebWeb serviceBusinessMarketing
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence-based medicine (EBM) attempts to narrow the gap between knowledge and practice, but ready access to evidence-based resources remains a challenge to practicing physicians. OBJECTIVE: To describe a new, EBM information delivery service, its trial design, and baseline data. METHODS: McMaster PLUS (Premium Literature Service), composed of a continuously updated database and web-based interface, delivers scientifically rigorous and clinically relevant research literature matched to individual physicians' clinical interests. A cluster randomized controlled trial is currently underway, comparing 2 versions of the PLUS system. RESULTS: As of Feb 2005, the PLUS database contained over 5700 scientifically sound, clinically relevant articles, published from 2001 to present. 68% of articles have full text links. Over 200 physicians in Northern Ontario have been randomized to one of 2 PLUS interfaces. CONCLUSION: McMaster PLUS has been designed to aid physicians to home in on high quality research that is highly relevant and important to their own clinical practice.

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)0.002
metaresearch head score (Gemma)0.028
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.998
Threshold uncertainty score0.634

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0110.013
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.1890.020

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 head0.188
GPT teacher head0.413
Teacher spread0.225 · 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
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

Citations13
Published2005
Admission routes2
Has abstractyes

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