Spatial distribution and grades of conjugate veins associated with mesothermal saddle reef gold mineralization, The Ovens, Nova Scotia : implications for an open pit resource
Bibliographic record
Abstract
A 228 m long E-W oriented cliff section of continuous exposure along the north shore of Rose Bay, The Ovens, Nova Scotia, was measured along a reference line to determine the locations and attitudes of conjugate, thrust-related and bedding parallel (saddle reef) Au-quartz-sulphide veins within the Cunard Formation, Halifax Group, Meguma Supergroup. Over 1700 veins ranging from less than 1 mm to 173 mm wide were observed. A variety of statistical tests were performed to determine whether these veins are randomly located in space. All results indicate that these veins exhibit a non-random distribution. Net lateral dilation accommodated by west-dipping conjugate veins does not exhibit a significant trend; however, east-dipping conjugate veins become sparser but exhibit more net dilatancy to the west and down-section toward a basal thrust. Metallic gold grade results from 0.5 to 3 kg of vein material exhibit a highly positively skewed distribution with concentrations ranging from 0.016 to 60.911 grams per tonne. Using an ideal Poisson grade distribution with identical mean (2.742 grams per tonne), the observed vein width distributions and the observed vein frequency distributions, a Monte Carlo simulation using 5700 1 m³ block realizations was undertaken to produce a hypothetical model for tonnage, grade and dilution curves for this mineralization. Results provide insight into the potential open pit economic feasibility of Au-bearing quartz-sulphide vein saddle reef stockworks associated with anticlines within the Meguma Supergroup.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".