Using Near Infrared Transmittance (NIT) to generate sorted fractions of Fusarium infected wheat and their immunological impact on broiler chickens.
Bibliographic record
Abstract
Fusarium mycotoxins, namely deoxynivalenol, can negatively impact the nutritional quality of grains. This study evaluated the effects of feeding three naturally contaminated Fusarium-downgraded wheat sources on immunological parameters in broiler chickens. Sources were individually sorted into three fractions: outlier, high mycotoxin, and low mycotoxin, then reconstituted into four diet ratios in proportion to the high-mycotoxin fraction, providing a 3 × 4 factorial design. Immunological assessments were done by evaluating (1) cell-mediated responses to the mitogen phytohemagglutinin (PHA) through intermediate interdigital web swelling, (2) humoral responses to bovine serum albumin (BSA) antigen through induced antibody production, and (3) the heterophil to lymphocyte (H:L) ratio. Relative tissue weights and histopathology of selected immune tissues were assessed. Results indicate no significant differences (P < 0.05) in swelling response to PHA, secondary antibody response to BSA, or the ratio of heterop...
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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 | 0.000 | 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) | 0.001 | 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".