Supplementary material to "Global scale human pressure evolution imprints on sustainability ofriver systems"
Bibliographic record
Abstract
Tables Hydrobelt Hydroregion # pixel # basin m X (95% confidence bounds) R 2 p-value m X (95% confidence bounds) R 2 p-value m X (95% confidence bounds) R 2 p-value m X (95% confidence bounds) R 2 p-value all 4375 170 2.732 (2.640, 2.824) 0.45 <0.001 2.770 (2.647, 2.866) 0.43 <0.001 0.127 (0.121, 0.132) 0.32 <0.001 0.132 (0.126, 0.137) 0.34 <0.001 North America 1050 55 4.316 (4.093, 4.540) 0.58 <0.001 3.714 (3.520, 3.908) 0.57 <0.001 0.183 (0.164, 0.202) 0.25 <0.001 0.195 (0.172, 0.218) 0.21 <0.001 Basin Name # pixel Hydrobelt Hydroregion DHPR [% yr -1 ] R 2 P-value Mackenzie 286 Boreal North America -0.24 0.004 7.91E-01 Nelson 221 Boreal North America -1.26 0.244 1.95E-02 Yukon 137 Boreal North America -1.05 0.064 2.57E-01 Churchill (HudsonBay) 62 Boreal North America 0.66 0.045 3.42E-01 Koksoak 24 Boreal North America 0.26 0.009 6.77E-01 Albany 35 Boreal North America -0.41 0.035 4.02E-01 Kuskowin 15 Boreal North America -0.51 0.022 5.06E-01 Moose 36 Boreal North America -2.40 0.571 <0.001 Churchill (Atlantic) 21 Boreal North America -0.39 0.072 2.28E-01 Severn 18 Boreal North America 0.66 0.031 4.33E-01 LaGrande 23 Boreal North America -3.43 0.504 <0.001 Hayes (HudsonBay) 22 Boreal North America 0.14 0.004 7.92E-01 Nottaway 19 Boreal North America -2.40 0.455 <0.001 Copper 10 Boreal North America -2.78 0.498 <0.001 Winisk 16 Boreal North America 0.67 0.024 4.94E-01 Attawapiskat 18 Boreal North America 8.46 0.701 <0.001 Rupert 16 Boreal North America 0.44 0.014 6.02E-01 Stikine 10 Boreal North America -2.70 0.370 2.69E-03 GHAASBasin341 4 Boreal North America -0.42 0.022 5.11E-01 Grande Riviere Baleine 13 Boreal North America -11.93 0.572 <0.001 Eastmain 3 Boreal North America 10.25 0.594 <0.001 Nushagak 1 Boreal North America -1.98 0.180 4.91E-02 Harricana 11 Boreal North America -2.490.624 <0.001 Alsek 4 Boreal North America -0.91 0.102 1.47E-01 Broadback Boreal North America -0.35 0.006 7.26E-01 Dvina 180 Boreal Europe -1.87 0.259 1.56E-02 Pechora 88 Boreal Europe -0.110.001 9.11E-01
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.753 | 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".