Report on samples collected for radiolaria identification in the Gladys Lake-Mount Bryde area, near Atlin, British Columbia
Bibliographic record
Abstract
Geofile 2024-13 reports on 35 samples collected in 2023 as part of the joint federal-provincial GEM-GeoNorth project. Samples were collected from outcrops identified in the field as radiolaria bearing during framework mapping of the Gladys Lake area (Mihalynuk et al., 2024a), and as part of an ongoing topical study extending into south-central Yukon (Zagorevski et al., 2021).Standard radiolaria extraction and identification were carried out at the Université Claude Bernard. Ages could successfully be determined from radiolaria extracted from 21 of the 35 samples. Ages of conodonts recovered during the extraction are pending.All radiolaria identified are Triassic or Early Jurassic; ages consistent with previous collections sampled from Kedahda Formation rocks (as defined in Zagorevski et al., 2021), along strike in southern Yukon (Cordey et al., 1991) and south of Atlin (Mihalynuk et al., 2003). Together with the Farnsworth wacke unit, which contains chert sharpstone conglomerate derived from the Kedahda Formation, the units appear to comprise a deformed overlap succession on Cache Creek and Atlin terranes. Volcanic grains in the wackes were likely derived from erosion of adjacent Stikine and Quesnel terranes (cf. Zagorevski et al., 2021; Mihalynuk et al., 2024a). If so, these samples help to demonstrate proximity of Atlin, Cache Creek, and Quesnel-Stikine terranes by Late Triassic.In this release (BCGS_GF2024-13.zip): Appendix 1 contains fossil identification data in Excel and .cvs formats; Appendix 2 contains a Manifold® v9 project file with georeferenced fossil locations; Appendix 3 contains a Google Earth kml format file; Appendix 4 contains a geodatabase suitable for import into spatial SQL; and Appendix 5 contains a shapefile package.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".