MétaCan
Menu
Back to cohort
Record W2471336641 · doi:10.1007/s00737-016-0631-7

Fourth consensus of the International Society for Premenstrual Disorders (ISPMD): auditable standards for diagnosis and management of premenstrual disorder

2016· article· en· W2471336641 on OpenAlexaff
Elgerta Ismaili, Sally Walsh, Patrick O’Brien, Torbjörn Bäckström, Candace Brown, Lorraine Dennerstein, Elias Eriksson, Ellen W. Freeman, Khaled Ismail, Nicholas Panay, Teri Pearlstein, Andrea J. Rapkin, Meir Steiner, John Studd, Inger Sundström-Paromma, Jean Endicott, C. Neill Epperson, Uriel Halbreich, Robert L. Reid, David R. Rubinow, Peter J. Schmidt, Kimberley Yonkers

Bibliographic record

VenueArchives of Women s Mental Health · 2016
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsQueen's UniversityMcMaster University
Fundersnot available
KeywordsPremenstrual dysphoric disorderAuditMedicineMenstruationPsychiatryFamily medicineGynecologyMenstrual cycleBusiness

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)0.148
metaresearch head score (Gemma)0.209
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: Other · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1480.209
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0100.006
Science and technology studies0.0040.003
Scholarly communication0.0050.002
Open science0.0090.007
Research integrity0.0100.016
Insufficient payload (model declined to judge)0.0020.001

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 head0.316
Teacher spread0.301 · 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
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

Citations96
Published2016
Admission routes1
Has abstractno

Explore more

Same venueArchives of Women s Mental HealthSame topicMenstrual Health and DisordersFrench-language works237,207