Carrapateena: physical properties of a new iron-oxide copper-gold deposit
Bibliographic record
Abstract
Carrapateena is a new Olympic Dam - style, iron-oxide copper-gold (IOCG) deposit, located approximately 160 km north of Port Augusta and 100 km south-east of Olympic Dam, South Australia (Figure 1). Carrapateena was discovered in June 2005, when significant copper-gold mineralisation was intersected by RMG Services Pty. Ltd. (RMGS), within drill hole CAR002. CAR002 was targeted on near - coincident gravity and magnetic anomalies and ended in mineralised hematite breccia, returning an intercept of 178.2m at 1.83% Cu, 0.64g/t Au, 0.21% Ce, 0.13% La and 59ppm U, from 476m, including a high grade top of 73m at 2.89% Cu and 0.4g/t Au (Vella and Cawood, 2006). Following on from RMGS? success, subsequent exploration by joint venture partner, Teck Cominco Australia Pty. Ltd., (TCA) has demonstrated Carrapateena to have strong similarities with Olympic Dam, albeit at a smaller scale. It is now known that significant copper-gold mineralisation exists at Carrapateena (for example, drill hole CAR050 intersected 905m @ 2.1% Cu and 1g/t Au), but the overlying 470m thickness of moderately conductive Stuart Shelf sediments presents significant technical challenges to exploration. Therefore, a solid understanding of the physical properties of both cover sequence and basement rocks is critical. To this end, extensive laboratory petrophysical testing has been carried out on drill core samples, with measurements comprising mass properties, inductive properties, galvanic electrical measurements, natural remanent magnetisation and P-wave velocity. Electrical anisotropy of the cover sequences has also been investigated. The results of this work will be presented here, following a description of geological setting.
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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 | 0.001 |
| 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".