Preliminary project design for insect production: part 2 – organism kinetics, system dynamics and the role of modelling & simulation
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
During preliminary project design (PPD) an entopreneur can investigate a variety of process types, organism/feed combinations, operating conditions and procedures, control approaches, etc. before deciding on a specific system arrangement and proceeding to a more formal design stage. With modelling and simulation the effort required to locate a high-value point within the overall possibility space for a system can be greatly reduced because much of the development work can be carried out in a virtual environment. Nevertheless, to formulate models of the organism/feed kinetics as well as other system aspects, this approach must be based on experimental data. And, of course, results of a simulation study must be verified empirically. A simulation-based approach to PPD allows an entopreneur to study the dynamics of a wide variety of system arrangements and to gain insight into how a given arrangement is likely to perform with different parameter values and disturbances.
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 | 0.000 | 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