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Record W2065349361 · doi:10.1136/bmj.g1523

Authors' reply to Huffman and colleagues

2014· letter· en· W2065349361 on OpenAlexaff
John Abramson, H Rosenberg, N. Jewell, James M Wright

Bibliographic record

VenueBMJ · 2014
Typeletter
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of British ColumbiaYork University
Fundersnot available
KeywordsHuffman codingComputer scienceData scienceWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

We thank the Cochrane review authors for their thoughtful comments (highlighted in quotes below), which give us the opportunity to clarify unresolved issues about the benefits and harms of statins in low risk people.1 > “This article predated by three weeks the publication of the 2013 American College of Cardiology/American Heart Association (ACC/AHA) cholesterol treatment guidelines (12 November 2013), but statements were made about ‘proposed standards’ without full knowledge of these guidelines.” The “proposed standards” that we referred to in our article were not the yet to be published 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines on cholesterol treatment.2 3 Rather, they were the 2013 update of the Cochrane review on statins for the primary prevention of cardiovascular disease,4 which had incorporated the findings and recommendations of the 2012 Cholesterol Treatment Trialists’ (CTT) meta-analysis.5 The 2012 CTT meta-analysis reported that statins significantly reduce major vascular events in people “with 5-year risk of major vascular events lower than 10%.” It concluded that the current major guidelines—ATP-III in the US, the European Society of Cardiology task force, and the National Institute for Health and Care Excellence guidelines in the UK—“might need to be reconsidered.” The 2013 Cochrane review stated: “in light of new evidence derived from the CTT Collaboration on primary prevention, there is a need to update existing cost-effective analysis.” We based our comments about “proposed standards” on these calls to update existing recommendations. Although we had no advanced knowledge of the contents of the forthcoming ACC/AHA cholesterol treatment guidelines, we anticipated that these findings and recommendations would be influential. > “Abramson and colleagues state: ‘Under the proposed 2013 standards, however, no level of risk would preclude statin therapy’” The 2012 CTT meta-analysis concluded: “The present report shows that statins are indeed both effective and safe for …

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)0.031
metaresearch head score (Gemma)0.286
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.286
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0030.004
Science and technology studies0.0030.004
Scholarly communication0.0060.009
Open science0.0050.004
Research integrity0.0360.046
Insufficient payload (model declined to judge)0.0130.009

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations2
Published2014
Admission routes1
Has abstractyes

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