Optimization of postharvest processing for hops (Humulus lupulus) and cannabis (Cannabis sativa)
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
Differences in cannabis (Cannabis sativa) plant chemistry between accessions are influenced by genetics, plant growth and development, and environmental conditions. Resulting secondary metabolite profiles are further altered post-harvest during storage, drying and extraction, all of which present sizable challenges to licensed producers of food- and pharmaceutical-grade products in Canada and elsewhere. This thesis focused on improving cannabis biomass drying and extraction methods suitable for scale-up in the cannabis industry. Compiling new data for this novel research field, with few studies given the new regulatory framework, will help fill the knowledge gaps. Factors affecting the drying and extraction kinetics for the different systems were evaluated and optimized to improve the quality of dried biomass and extracts
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 | 0.000 | 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 | 0.001 | 0.000 |
| 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 it