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Record W2961305810 · doi:10.1016/j.eururo.2019.06.027

Hypospadias Prevalence and Trends in International Birth Defect Surveillance Systems, 1980–2010

2019· article· en· W2961305810 on OpenAlexaff
Xiao Yu, Natasha Nassar, Pierpaolo Mastroiacovo, Mark A. Canfield, Boris Groisman, Eva Bermejo, Annukka Ritvanen, Sonja Kiuru‐Kuhlefelt, Adriana Benavides, Anna Pierini, Fabrizio Bianchi, Karin Källén, Miriam Gatt, Margery Morgan, David Tucker, M. Aaurora Canessa, Rosa Gajardo, Osvaldo M. Mutchinick, Elena Szabová, Melinda Csáky‐Szunyogh, Giovanna Tagliabue, Janet D. Cragan, Wendy N. Nembhard, Anke Rißmann, Dorit Goetz, Carol Bower, Gareth Baynam, R. Brian Lowry, Juan Andrés León, Wei Luo, Jocelyn Rouleau, Ignacio Zarante, Nicolás Fernández, Emmanuelle Amar, Saeed Dastgiri, Paolo Contiero, L. Villarreal, Barry Borman, Jorieke E. H. Bergman, Hermien E. K. de Walle, Charlotte A. Hobbs, Amy Nance, A. J. Agopian

Bibliographic record

VenueEuropean Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsPublic Health Agency of CanadaAlberta Children's Hospital
FundersCenters for Disease Control and PreventionNational Institutes of Health
KeywordsMedicineHypospadiasObstetricsGynecologyDemographySurgery

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.243
Teacher spread0.229 · 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 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

Citations150
Published2019
Admission routes1
Has abstractno

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