Till composition near Cu-porphyry deposits in British Columbia: highlights for mineral exploration
Bibliographic record
Abstract
Till orientation surveys were completed in the region of four Cu porphyry deposits in British Columbia with the objective of defining geochemical and mineralogical indicators of porphyry mineralisation buried by glacial sediments. We demonstrate that even if those deposits contain low to medium metal grades (e.g., 0.2 to 0.4 % Cu compared to an average crustal abundance of 0.0075 % Cu), they are reflected in the till composition with elevated concentrations of ore metals (Cu, Au, Mo) and pathfinder elements (Hg, Pb, Zn, Ag), and large grain counts of ore minerals (chalcopyrite, gold grains) and alteration minerals (e.g., epidote, andradite garnet, apatite) which are in contrast with surrounding regions devoid of mineralisation. These zones with elevated metal or mineral content in till define glacial dispersal trains that extend several kilometres down-ice from the bedrock mineralised sources. In this study, the shape of the dispersal trains is principally controlled by: 1) the ice-flow directions; and 2) the areal extent of the mineralisation exposed to glacial erosion which can comprise a cluster of sub-economic mineralised zones in the periphery of the main economic deposits. Using those porphyry indicators and existing till composition data sets from a region underlain by Late Triassic to Early Jurassic intrusions within the Quesnel terrane, we postulate that potential for Cu-Au porphyry style mineralisation exists within the Spout Lake pluton to the west of the Takomkane batholith and at the northern end of the Thuya batholith.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".