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Record W2001370399 · doi:10.1097/grf.0b013e31802f1d28

Psychologic Aspects of Early Pregnancy Loss

2007· article· en· W2001370399 on OpenAlexaff
Diana Carter, Shaila Misri, Lianne Tomfohr‐Madsen

Bibliographic record

VenueClinical Obstetrics & Gynecology · 2007
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of British ColumbiaSt. Paul's HospitalB.C. Women's Hospital & Health Centre
Fundersnot available
KeywordsMiscarriageMedicineAnxietyPregnancyAbortionPsychiatryDepression (economics)Posttraumatic stressObstetrics

Abstract

fetched live from OpenAlex

Early pregnancy loss is a complicated psychologic event that occurs in 12% to 24% of recognized pregnancies. Women who have experienced miscarriage often have common bereavement reactions and while the intensity and experience of these reactions diminishes over time for most women, a substantial minority will develop long-term psychiatric consequences. Depression, symptoms of anxiety, obsessive-compulsive disorder, and posttraumatic stress disorder are the most commonly reported psychologic reactions to miscarriage. The course and impact of these disorders on a grieving mother and her partner are discussed and treatment recommendations are made. The psychologic effects of therapeutic abortion are also be briefly discussed.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.100
GPT teacher head0.442
Teacher spread0.342 · 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

Citations50
Published2007
Admission routes1
Has abstractyes

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