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Record W3003139921 · doi:10.1111/andr.12756

Celebrating the Silver Anniversary of the North American Testis Workshop

2020· review· en· W3003139921 on OpenAlexaff
Bernard Robaire, Mitch Eddy, Erwin Goldberg, Michael D. Griswold, Leslie L. Heckert, John R. McCarrey, Marie‐Claire Orgebin‐Crist, Vassilios Papadopoulos, Jacquetta M. Trasler, William Wright, Wei Yan, Barry R. Zirkin

Bibliographic record

VenueAndrology · 2020
Typereview
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsEpigeneticsFunction (biology)PhysiologyHistoryMedicineLibrary scienceBiologyGeneticsComputer scienceGene

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide an overview of the history of the North American Testis Workshop (NATW), of its relationship to the American Society of Andrology (ASA), and of the publications that resulted from the first 25 workshops. METHODS: The collection of volumes and journal articles that relate to the NATW was searched. DISCUSSION AND CONCLUSION: During the first twenty-five meetings of the NATW, a remarkable number of breakthroughs regarding every aspect of the testis were presented. We anticipate that with the acceleration of new genetic, epigenetic, and molecular knowledge of the functions of testicular cells, we will continue to learn about the discovery of new and clinically important aspects of testicular function during the next twenty-five NATWs.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.030
GPT teacher head0.310
Teacher spread0.280 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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