Technical and technological parameters cucumber pickles harvesting and processing
Bibliographic record
Abstract
Examination of technical and technological parameters during the harvesting and processing of cucumber pickles was performed in the exploitation conditions in Gospođinci. The area under cucumber pickles was 8.82 ha, with a yield of 124 t/ha. On the listed area involved two tractor units with carriage platforms for semi mechanized harvesting. Working width platform was 21 m and there in the lying position were 24 workers and a tractor driver. Depending on the yield, the overall usage human labor for harvesting throughout the season ranges from 5789 to 7236 h/ha and machine work from 13894 to 17367 kWh/ha. Mass productivity per worker ranged in the interval 17.14 to 21.42 kg/h. Processing fruits of cucumber pickles was done by facility that serves 12 employees and a total commitment of human labor and machine work was 165 h/ha and 522 kWh/ha. The total average seasonal amount engaged for harvesting, transport and processing of amounts to 6771 h/ha human labor work and 20639 kWh/ha machine work.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".