Levantamento bibliométrico sobre a distribuição de nematoides em solo brasileiro
Bibliographic record
Abstract
Os nematoides de solo são organismos que podem ser utilizados como indicadores de perturbações no solo por estarem presente em toda cadeia trófica. Esses organismos são diretamente influenciado pelas propriedades quimicas e fisicas do solo, umidade e presença de espécies vegetais. Com o objetivo de estudar a comunidade de nematoides do solo no Brasil, foi realizada uma revisão bibliográfica sobre este tema no banco de dados da Web of Sience utilizando as palvras community, nematodes, soil e Brazil e após realizar um filtro para separar os artigos que avaliaram apenas os fitonematoides sobraram 19 artigos. Os nematoides do solo são divididos por hábito alimentar em bacteriófagos, micófagos, herbívoros, onívoros e predadores, cada grupo com a sua função, destacando-se os fitonematoides que são prejudiciais ao desenvolvimento de culturas agrícolas. Com esta revisão foi possível identificar que pucos artigos foram publicados relacionados a comunidade de nematoides de solo no Brasil e apenas oito unidades federativas realizaram pesquisa na área, com enfase em poucas culturas agrícolas. Demosntrando a necessidade de mais pesquisas relacionadas a comunidade de nematoides nos solos brasileiros.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.062 | 0.085 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".