Supplementary material to "Variability in BVOC emissions and air quality impacts among urban trees in Montreal and Helsinki"
Bibliographic record
Abstract
Figure S1.Maps indicating the locations of the study trees in (a) Montreal and (b) Helsinki.The dashed lines outline the upscaling test areas for the upscaling BVOC emissions and ozone and secondary organic aerosol (SOA) formation by study species.AP, Acer platanoides; GT, Gleditsia triacanthos; PC, Populus canescens; QM, Quercus marcrocarpa; TC, Tilia cordata; BP, Betula pendula; QR, Quercus robur; TE, Tilia x europea; UG, Ulmus glabra.Table S1.The measurement date, ambient environmental conditions during measurements between 11.00 and 15.00 (T, temperature; RH, relative humidity), and the number, species, and locations of the sampled trees per day.For ambient temperatures and precipitation totals for the full months, see Supplement Fig. S4.AP, Acer platanoides; GT
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.787 | 0.192 |
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".