Investigating the Sublethal Effects of Cannabis sativa on Earthworms and Trematode Cercariae
Bibliographic record
Abstract
<p>Rising demand for <em>Cannabis sativa</em> production and use has resulted in recent rapid widespread legalization and large-scale production. Due to its abundance and variety of unique secondary metabolites, <em>C. sativa</em> cultivation could pose a risk to natural terrestrial and aquatic environments. Currently, its general effects on invertebrate animals are not well studied beyond lethality. Here, I investigated how ingestion of <em>C. sativa</em> plant material affected the growth, mortality, and behaviour of an earthworm species. Earthworms that fed on <em>C. sativa</em> gained less weight and took longer to escape from an external heat stimulus. However, mortality and escape behaviour from an external light stimulus were not affected. I also investigated if exposure to aqueous cannabinoids affected the activity and longevity of free-swimming infectious cercariae of trematode (flatworm) parasites. Neither high nor low concentrations of cannabinoid solutions had any effects. Exposure to <em>C. sativa</em> could thus have some effects on non-target organisms.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".