Supplementary data for: Mosquito phytophagy – sources exploited, ecological function, and evolutionary transition to haematophagy
Bibliographic record
Abstract
This dataset consists of two files: Floral visitation records of mosquitoes Plant sugar, primarily in the form of floral nectar, is the ubiquitous basic food of adult mosquitoes. However, records of mosquito floral visitation are not usually the focus of research publications and, as such, are often reported as secondary parts of larger studies and are scattered throughout more than a century of scientific literature. Here we provide a summary of more than 500 recorded literature and field instances of floral and extra-floral nectary visitation by mosquitoes, including the plant and mosquito species involved as well as known pollination records. file name: Summary_of_Field_Mosquito_Floral_Visitation_Instances.xlsx Summary of floral semiochemical blends that are attractive to mosquitoes Floral nectar is the primary food source of adult mosquitoes and mosquitoes, along with many other pollinators, use floral semiochemicals to locate this resource. Here we provide a summary of floral semiochemical blends attractive to mosquitoes that have been reported in the literature. The mosquito species involved have also been listed. file name: Summary_of_Floral_Semiochemical_Blends_Attractive_to_Mosquitoes.xlsx
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.258 | 0.122 |
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".