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10.1016/s1885-9070(09)36078-3

2000· book-chapter· en· W93866560 on OpenAlexvenueno aff
Brittany Albright, William F. Rayburn

Bibliographic record

VenueTime to knit · 2000
Typebook-chapter
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPsychologyMedicine

Abstract

fetched live from OpenAlex

El abuso de sustancias supone unos riesgos significativos para la salud de las mujeres en edad fertil de EE. UU. y, en aquellas que se quedan embarazadas, para sus hijos. El abuso o dependencia de sustancias se define como un patron inadaptado del uso de sustancias marcado por unas consecuencias negativas recurrentes y significativas asociadas al uso repetido de sustancias. El alcohol es la sustancia mas prevalente consumida por las mujeres en edad de ser madres, seguida del tabaco y de varias drogas ilegales. El uso de sustancias en el periodo previo a la concepcion predice un uso continuo pero a menudo limitado de sustancias durante el periodo prenatal. Los profesionales deben conocer las necesidades psicologicas, fisiologicas y sociales unicas de las mujeres en edad fertil y las ramificaciones legales y eticas asociadas que rodean al abuso de sustancias antes de derivar a la paciente a un equipo multidisciplinar comunitario para un tratamiento que a menudo es a largo plazo.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.990
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0050.006
Open science0.0050.006
Research integrity0.0090.003
Insufficient payload (model declined to judge)0.9900.992

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 head0.007
GPT teacher head0.184
Teacher spread0.177 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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