Surficial geology, geochemistry and 3D modeling of the Kelowna-Westbank-Mission Creek area
Bibliographic record
Abstract
The Okanagan Basin is located in the southern interior of British Columbia and covers 8,200 km2 around the Okanagan Valley. This three years project, called Groundwater Assessment in the Okanagan Basin (GAOB), was completed under the Groundwater program, in the Assessment of regional aquifers towards a national inventory section. The area covered by the study is mainly located in the Kelowna surroundings. It covers the eastern half and southern two thirds of Shorts Creek map (NTS 82 L/04, scale 1:50 000), the eastern half of Peachland map (NTS 82 E/13, scale 1:50 000), all of Kelowna map (NTS 82 E/14, scale 1:50 000), and the southern two thirds of the Oyama map (NTS 82 L/03, scale 1:50 000). Over the lifecycle of the project: fieldwork for regional till sampling, drilling and regular surficial mapping was performed. The different results are presented in spreadsheets, dot maps and various figures format (Annexes 1, 2, 3, 4, 6, 7, 8). A cartographic open file was published: Paradis, S.J., 2009, Surficial geology, Kelowna. British Columbia; Geological Survey of Canada, Open File 6146, scale 1:50 000 (Annex 5). A geophysics survey was also done and finally a 3D model was produce (Annexes 9, 10, 11, 12, 13, 14). For visualization, the 3D model is presented in GOCAD format and PDF3D file.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".