Influence of Working Depth and Soil Type on Drawbar Performance of a Chisel Plow
Bibliographic record
Abstract
With the aim of studying the drawbar performance and power required by a commercial chisel plow with five shanks, an experiment was carried out involving two soil types (sandy and clayey) and three working depths (0.25, 0.35 and 0.45 m). A farm wheeled tractor, properly sized by the raw power of the engine, pulled the equipment. An electronic instrumentation was used for data acquisition to measure the drawbar pull. Furthermore, in addition, four other parameters were determined, as real travel speed and slippage of the tractor. Chiseling operations showed no statistically significant effect of soil type on drawbar pull in the different working depths. However, clayey soil presented higher values of slippage (34.44%), power performance (47.25 kW) and drawbar pull (40.26 kN) than sandy soil.
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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 | 0.000 |
| 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 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".