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Record W2991608776 · doi:10.1016/j.jogc.2019.08.025

Interventional Uterine-Sparing Therapies for Leiomyomas: A Commentary on Myolysis

2019· article· en· W2991608776 on OpenAlexaffvenue
George A. Vilos, Angelos G. Vilos, Basim Abu‐Rafea, Nicholas Leyland, Catherine Allaire, Philippe Y. Laberge, Ally Murji, Sukhbir S. Singh, John Thiel

Bibliographic record

VenueJournal of Obstetrics and Gynaecology Canada · 2019
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsUniversity of OttawaUniversity of TorontoUniversity of SaskatchewanUniversité LavalUniversity of British ColumbiaMcMaster UniversityLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineCryotherapyUterine fibroidsModalitiesLeiomyomaRandomized controlled trialInformed consentRadiofrequency ablationClinical trialPsychological interventionMagnetic resonance imagingFertilityRadiologySurgeryAblationAlternative medicineInternal medicinePathologyPopulation

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)0.008
metaresearch head score (Gemma)0.048
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.041
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0050.005
Open science0.0040.003
Research integrity0.0410.065
Insufficient payload (model declined to judge)0.0060.003

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 head0.016
GPT teacher head0.265
Teacher spread0.249 · 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
GenreCommentary

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

Citations10
Published2019
Admission routes2
Has abstractno

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