MétaCan
Menu
← Back to cohort
Record W4240719180 · doi:10.1080/15216540701629282

Unholy errors

2007· article· pt· W4240719180 on OpenAlexaff
Frank Vella

Bibliographic record

VenueIUBMB Life · 2007
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsSaskTel (Canada)
Fundersnot available
KeywordsCitationComputer scienceLibrary science

Abstract

fetched live from OpenAlex

For several years now, it has been my habit to spend about 45 enjoyable minutes at noon time every Sunday at the largest bookstore in my city.This has a discount section where I have found many goods books, at very much reduced prices, including hard cover books by Nobel Prize winners in Literature or Pulitzer Prize or Man Booker Prize winners.In this way my voracious reading appetite is satisfied inexpensively with books that I would like to read and own.One such book was by Kazuo Murakami (1), and I acquired it recently rather hastily having become attracted to it by the publisher's blurb and the author's biographical note on the dust cover.Because of my interest in memoirs by distinguished scientists I did not need more information about it.This book is directed at a broad readership and is a translation of one that was originally published in 1997 in Japan, and which, according to the preface, sold over 200,000 copies.It contains biographical information and a description of the author's distinguished scientific career, which included the deciphering of the gene coding for the biosynthesis of renin and the generation by genetic engineering of hypertensive and hypotensive mice.It also contains an exposition of his hypothesis that mental attitude can influence genes by activating or repressing them (this is based on two published experiments on the effect of laughter on the postprandial blood sugar level of a group of individuals affected with type 2 diabetes mellitus and on 23 genes in their peripheral blood leukocytes (2, 3)), which is then extended as a possible explanation of the beneficial effects of a positive life attitude.In fact the subtitle is 'Awaken your genes & discover hidden talents' this being one of the book's major themes.As strongly indicated in the title, the author takes a creationist approach to the origin of the genetic code of life which he attributes to a euphemistically called 'Something Great' which he believes to 'transcend human understanding' (p.xx), to be 'a mysterious force to which we owe our lives'

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)0.006
metaresearch head score (Gemma)0.107
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.418
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.107
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.004
Science and technology studies0.0040.002
Scholarly communication0.0070.007
Open science0.0030.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.4180.394

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 head0.025
GPT teacher head0.314
Teacher spread0.289 · 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
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueIUBMB Life→Same topicGenetics, Bioinformatics, and Biomedical Research→French-language works237,207→