The effect of different doses of fertilizers, based on soil testing and crop response, on the yield of cabbage crop in relation to the introduced native soil mesofauna.
Bibliographic record
Abstract
The present field experiment focused on the effects of applying inorganic fertilizers and farm yard manure based on soil testing and crop response (STCR) on the introduced native soil mesofauna in the cabbage cropping system. The mean abundance of soil mesofauna was significantly high in STCR 30q ha-1 integrated with 59:74:109 Kg NPK/ha +25t FYM/ha +2 kg/plot mesofauna rich soil treatment (17.67 mesofauna /400 g soil) and was on par with rest of the treatments except LMH (167:100:163KgNPK/ha +25t FYM/ha) +no mesofauna rich soil (13.00 mesofauna/400 g soil), Control +2kg/plot mesofauna rich soil (11.89 mesofauna /400g soil) and STCR 30q ha-1 Integrated (59:74:109 Kg NPK/ha +25 t FYM/ha) + no mesofauna rich soil (11.33 mesofauna/ 400 g soil). The latter treatment recorded the least soil mesofauna. The introduced native soil mesofauna multiplied more in reduced fertilizer doses with the addition of FYM treatments compared to only fertilizer-applied treatment. 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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 | 0.002 | 0.004 |
| 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".