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.
Bibliographic record
Abstract
Cannabis pollens was identified using anti-cannabis pollen IgE obtained from an allergic patient against cannabis pollens. Cannabis pollens were kept on PVDF membrane and treated with sodium carbonate resulting in antigen protein fixed on membrane. The membrane was stained by the treatment with anti-cannabis pollen IgE, peroxidase labeled secondary monoclonal antibody (MAb) and finally substrate. MAb against tetrahydrocannabinolic acid (THCA) identified only cannabis plant in various plant species. Furthermore, since anti-THCA MAb had a wide cross-reactivity against all cannabinoids, all types of marihuana can be determined. We also discussed the identification methodology of marihuana using biosynthetic enzyme gene related to cannnabidiolic acid (CBDA) and THCA. Recently the circumstances surrounding illegal drugs and marihuana are changeable. Although the punishment and treatment for the suspects related illegal drugs and marihuana have been tolerant in European country, the opposite tendency has been found in Asian country. Supporting countries for the medical marihuana are increasing in like Netherland, Finland and the other European countries, Canada and a part of the United State.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 it