Supplemental Material: Lawsonite eclogite records subduction rheology and slab detachment, Faro, Yukon-Tanana Terrane, Yukon Territory, Canada
Bibliographic record
Abstract
Figure S1 includes large thin section scans for all samples. Figure S2 comprises electron backscatter diffraction (EBSD) large area maps for samples F09c and F11. Figure S3 includes additional isopleths or garnet core estimates for samples F09c and F11. Figure S4 includes EBSD GROD (grain reference orientation deviation) maps for two garnets in eclogite showing minor internal misorientation consistent with fragmented compositional zoning. Tables S1–S9 include: (S1) a table of all samples and sample mineralogy; (S2) X-ray fluorescence data for samples F09c, F11, and F13c; (S3) all garnet analyses for Fig. 4A; (S4) all clinopyroxene analyses for Fig. 4B; (S3S5) all amphibole analyses for Fig. 4D; (S6) all lawsonite analyses for Fig. 4E; (S7) all white mica analyses for samples F09c and F11; (S8) all epidote group mineral analyses for samples F09c and F11; and (S9) all chlorite analyses for samples F09c and F11.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 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) | 0.457 | 0.068 |
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".