Ground-dwelling arthropods sampled under artificial lights at night
Bibliographic record
Abstract
pitfall_scan.zip: These images contain ground-dwelling arthropods captured in pitfall traps at the UBC Farm from Jun-Dec 2023. They were imaged with an Epson V600 scanner. The labels visible in the images match the filenames and describe the planned experimental conditions under which the data were collected. Due to technical issues, real-world conditions (i.e., the state of the light at each site) did not always match these labels. The metadata file (metadata.csv) provides information on which conditions were present at each site. The first part of each label (YYYY-MM-DD) refers to the date the sample's pitfall trap was set out (five days before it was collected). The second part of the label (integer from 1-12) refers to the site where the sample was collected. The third part of the label (C, W, or A) refers to the state of the site's artificial light: either turned off (C, or control), on a white setting (W), or on an amber setting (A). The final part of the label (0m or 5m) refers to the distance between the pitfall trap and the site's light, 0 metres or 5 metres. The three digits at the end of the file name hold no meaning. pitfall_classification.zip: These images contain the same ground-dwelling arthropods as pitfall_scan.zip, but they have been segmented by the flat-bug algorithm and identified to the lowest possible taxonomic level. sensor_data.zip: These folders contain text files encoding sensor data from each site. "Intensity" contains a lux value from an Adafruit TSL2591 intensity sensor, while "ASxx" columns contain count values from the channels of an Adafruit AS7341 spectral sensor. biomass.csv: This file contains biomass data for each pitfall sample collected. interpolated_data.csv: This file contains the processed sensor data from each site, interpolated and with corrected site labels and treatments. metadata.csv: This file contains information about the true treatment applied at each site over the sampling period. alan_specimens.csv: This file summarises the captured arthropod specimens by pitfall sample and taxonomic group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.132 | 0.041 |
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".