Bibliographic record
Abstract
As rates of inflammatory bowel disease (IBD) rise, investigators at Harvard University are searching for environmental causative factors.The investigators uncovered a positive correlation between a common herbicide, propyzamide, and intestinal inflammation.They found that propyzamide impacts anti-inflammatory signalling pathways involving dendritic cells and T lymphocytes.Although propyzamide is used on crops and athletic turfs, the pathogenesis of IBD remains unclear and researchers emphasize that more work is required to confirm the correlation.5,6 MEDPULSE Coming Soon: A Psychedelic Prescription CANADA | October 2022Alberta is the first province in Canada to introduce therapeutic regulations for psychedelic drugs: a class of psychoactive substances that alter perception, mood, and cognition.While many of these drugs -such as magic mushrooms or LSD-remain illegal in Canada, new policies would allow physicians and researchers to utilize them for special interventions, clinical trials, and other specific circumstances.While it is still unclear which individuals would be eligible for prescribed psychedelics, doctors believe that treatment could best address post traumatic stress disorder, anxiety, and opioid addictions.However, psychedelics remain a risky drug; the government will require medical professionals to apply for a license and supervise patients for the duration of the drugs' effects.Despite this, there remains optimism in the potential of psychedelics in the future of healthcare.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.840 | 0.733 |
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".