Supplemental Material: Testing local and extraregional sediment sources for the Late Cretaceous northern Nanaimo basin, British Columbia, using <sup>40</sup>Ar/<sup>39</sup>Ar detrital K-feldspar thermochronology
Bibliographic record
Abstract
Table S1: Descriptions of each Nanaimo Group sample. Table S2: Description of K-feldspar separation method. Table S3: 40Ar/39Ar data collection methods. Table S4: Nanaimo detrital K-feldspar 40Ar/39Ar data. Table S5: K-feldspar 40Ar/39Ar incremental-heating data from the Pacific Northwest. Table S6: Biotite and muscovite 40Ar/39Ar incremental-heating data from samples from the Pacific Northwest. Table S7: Biotite K-Ar and 40Ar/39Ar age database used to construct Figures 10, 11, and 12 for selected Cretaceous batholiths of western North America, including references. Table S8: References used to construct Figures 8, 10, 11, 12, and 13. Figure S1: 40Ar/39Ar step-heating plots for K-feldspar, biotite, and muscovite from basement samples from the Pacific Northwest.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.422 | 0.076 |
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".