Diptera diversity in fifteen urban green spaces of a southern temperate city
Bibliographic record
Abstract
We collected the data for a project with the broad objective of studying urbanization effects on arthropod communities. Dipterans were collected from vegetation with a G-VAC (aspirator) in 15 urban green patches in Córdoba city, Argentina, during the summer (February) and winter (July-August) of 2014, diurnally within 9 am - 5 pm. A Sthil® vacuum cleaner with a 110 cm long and 12 cm wide tube was used to suck during 1 minute the vegetation within a square meter area (one subsample). Ten subsamples (5 at ground level and 5 up to 200 cm above the ground) were collected and pooled per site and sampling season. The pooled material collected from one site and season was considered as one sample unit (site) for data analysis. Samples were always collected on vegetation patches, which may include relatively small patches of bare ground, but not from bare ground per se. The minimum spatial distance between two subsamples was approximately 10 m. All adult Diptera were counted and identified to family based on morphological characteristics, mainly using taxonomic keys in McAlpine et al. (1981). (McAlpine J, Peterson B, Shewell G, Teskey H, Vockeroth J, Wood D (1981) Manual of Nearctic Diptera Vol I. Minister of Supply and Services Canada. Ottawa, Canada.)
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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, 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".