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Does normalization of prolactin levels result in weight loss in patients with prolactin secreting pituitary adenomas?

2002· letter· en· W1995104501 on OpenAlexaffabout
R. Yermus, Shereen Ezzat

Bibliographic record

VenueClinical Endocrinology · 2002
Typeletter
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsProlactinEndocrinologyInternal medicineProlactin cellNormalization (sociology)MedicinePituitary glandPituitary adenomaAdenomaHormone

Abstract

fetched live from OpenAlex

Clinical EndocrinologyVolume 56, Issue 4 p. 562-562 Does normalization of prolactin levels result in weight loss in patients with prolactin secreting pituitary adenomas? R. Yermus, Corresponding Author R. Yermus Mount Sinai Hospital, Toronto, Ontario, CanadaR. Yermus, 25 Evita Ct, Thornhill, Ontario, L4J 8K6, CanadaSearch for more papers by this authorS. Ezzat, S. Ezzat Mount Sinai Hospital, Toronto, Ontario, CanadaSearch for more papers by this author R. Yermus, Corresponding Author R. Yermus Mount Sinai Hospital, Toronto, Ontario, CanadaR. Yermus, 25 Evita Ct, Thornhill, Ontario, L4J 8K6, CanadaSearch for more papers by this authorS. Ezzat, S. Ezzat Mount Sinai Hospital, Toronto, Ontario, CanadaSearch for more papers by this author First published: 14 May 2002 https://doi.org/10.1046/j.1365-2265.2002.01510.xCitations: 8Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article.Citing Literature Volume56, Issue4April 2002Pages 562-562 RelatedInformation

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.285
Teacher spread0.256 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations15
Published2002
Admission routes2
Has abstractyes

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