Cover Picture: The Sex Attractant Pheromone of Male Brown Rats: Identification and Field Experiment (Angew. Chem. Int. Ed. 20/2016)
Bibliographic record
Abstract
The male brown rat marks his territory with urine deposits, thereby deterring potential male intruders while retaining females within his deme and attracting wandering females to it. In their Communication on page 6062 ff., G. Gries et al. report the identification and field testing of the urine-derived sex pheromone, which, when added to food-baited traps, increases the capture of wild female rats by a factor of ten. The pheromone could improve the efficacy of rat control tactics (picture: S. McCann and S. DeMuth). The male brown rat marks his territory with urine deposits, thereby deterring potential male intruders while retaining females within his deme and attracting wandering females to it. In their Communication on page 6062 ff., G. Gries et al. report the identification and field testing of the urine-derived sex pheromone, which, when added to food-baited traps, increases the capture of wild female rats by a factor of ten. The pheromone could improve the efficacy of rat control tactics (picture: S. McCann and S. DeMuth). Natural Gas Desulfurization Direct Ketone Allylation Mesoporous Materials
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".