Bibliographic record
Abstract
The seasonal population fluctuations of the northern root-knot nematode Meloidogyne hapla on car rot (Daucus carota), onion (Allium cepa), and weeds were observed on organic soils in southwestern Quebec. Lowest population densities of M. hapla juveniles (J2) were recorded in July and August, followed by a peak in September and October in plots with carrot or weedy fallow. In onion, J2 densities remained near or below the detectable level during most of the sampling period, but a small trend in population increase was also detected in the fall. The vertical distribution of M. hapla was similar in carrot weedy fallow, and onion plots. J2 were regularly recovered from the four sampling depths (0-10,11-20, 21-30, and 31-40 cm). The numbers of J2 were greater in the 0-20 cm depth than the 21-40 cm depth, with 67, 68, and 60% of the total M. hapla population in the 0-20 strata for carrot, weedy fallow, and onion, respectively. The tomato bioassay method was more sensitive than the Baermann pan method for detecting low M. hapla densities. Because of the poor correlation between J2 densities in the soil and the number of galls on tomato roots in the bioassay, a measurement of J2 abundance such as the Baermann pan method shoud be supported by bioassay to further assist growers in their decision process for the management of M. hapla in organic soil.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".