Data from three prospective longitudinal human cohorts of prenatal marijuana exposure and offspring outcomes from the fetal period through young adulthood
Bibliographic record
Abstract
This article includes data from three prospective longitudinal human cohorts of prenatal marijuana exposure (PME) and offspring outcomes from the fetal period through young adulthood. The table herein contains an overview of the major adverse effects associated with PME from the following human cohorts: (1) The Ottawa Prenatal Prospective Study (OPPS); (2) The Maternal Health Practices and Child Development Study (MHPCD); and (3) The Generation R Study (Gen R). In the OPPS, fetal gestational age was measured and age-appropriate standardized neuropsychological instruments were used to assess neonatal responses, and infant-child and adolescent-young adult cognitive and behavioral skills. In the MHPCD, birth length and weight, neonatal body length, and infant-child sleep, cognition, and behavioral parameters were measured. In the Gen R, birth weight and growth were measured, as were infant-child attention and aggression. The data in this article are in support of our report entitled "Prenatal Cannabis Exposure - The "First Hit" to the Endocannabinoid System" (K.A. Richardson, A.K. Hester, G.L. McLemore, 2016) [13].
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".