Development and Evaluation of a Prototype for Seed Coating
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
The use of technologies is increasingly present in agriculture. The seed coating is one of these technologies. However, to obtain it, it’s demanded the use of machines and technics which are restricted to production companies, burdening the price on this type of product. Given the above, it was aimed to develop and evaluate a prototype capable of coating small seeds. To elaborate the conceptual design of the prototype it was employed the computer program for modeling 3D SketchUp, version 2014. The prototype measures were expressed in millimeters (mm). The prototype has three main parts: (1) support base, (2) seed coating bowl, and (3) cementing material container. To evaluate the prototype, bentonite, gypsum and kaolin were used as filling materials of the colza seed (Brassica napus L.). As cementing material the PVA glue was used in the percentages of 20, 30, 40 and 50%. The studied variables were prototype yield, production cost of the coated seeds and residue generated in the coating process. The prototype has a compact size, answering the needs of laboratory and/or small producer. It presented cost and residues in an acceptable level and yield up to 88%.
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 | 0.002 | 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