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Record W3192952693 · doi:10.1542/neo.22-8-e521

Marijuana Use during Pregnancy and Lactation and Long-term Outcomes

2021· review· en· W3192952693 on OpenAlex
Nadia Narendran, Karman Yusuf

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeoReviews · 2021
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineBreastfeedingPregnancyEpidemiologyPopulationPublic healthConfoundingEnvironmental healthPsychiatryPediatrics

Abstract

fetched live from OpenAlex

Recent surveys have shown increased use of marijuana during the perinatal period, possibly linked to increased legalization in many countries. Available information on the association between marijuana exposure and the effects on growth and development, as well as brain structure and function of the fetus, is growing but has not been uniform. Interpretation of these data is often challenging because of the influence of confounding factors and the sociodemographic variabilities in the study subjects. In this review, we present a synthesis of current information on the epidemiology and effects of marijuana use during pregnancy and evaluate the evidence for the immediate and long-term effects on affected neonates. We also describe the current knowledge and implications of breastfeeding and marijuana use and summarize selected current references about this practice. Finally, we provide the rationale for additional biological and population-based investigations to determine the various fetal outcomes of in-utero marijuana exposure that may assist in the establishment of prevention measures and applicable public health policies in the future.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.111
GPT teacher head0.409
Teacher spread0.298 · 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