Till geochemical signatures of the Halfmile Lake Zn-Pb-Cu volcanogenic massive sulphide deposit, Bathurst Mining Camp, New Brunswick
Bibliographic record
Abstract
The Halfmile Lake study was conducted as part of the Geological Survey of Canada's Targeted Geoscience Initiative (TGI-3) Program under the Deep Search Project to document the geochemical and indicator mineral signatures of the till around the Halfmile Lake Zn-Pb-Cu volcanogenic massive sulphide (VMS) deposit in northcentral New Brunswick. Bedrock and till samples were collected in 2007 and 2008 at varying distances up- and down-ice of the deposit. Sampling was focused on the South Upper AB zone because it is the surface expression of the deposit and is capped by a preglacial gossan. Mineralization consists of a Curich stringer zone stratigraphically overlain (structurally underlain) by a Pb-Zn massive sulphide zone. A metal-rich gossan composed of secondary minerals is found at surface. Till in the Halfmile Lake deposit study area is thin (<2 m), light olive brown to dark brown in colour, and silty sand to sandy silt in texture. Ice flow across the deposit area was towards the east-northeast. The pathfinder elements in the <0.063 mm fraction of till that define the signature of the deposit include Cu, Pb, Zn, Ag, As, Au, Bi, Hg, Sb, Se, and Sn. Elevated concentrations of these elements in till down-ice are consistent with the ore mineralogy of the Halfmile Lake deposit and demonstrate that till geochemistry is a useful tool for detecting VMS mineralization in the glaciated terrain of the Bathurst Mining Camp.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".