Bibliographic record
Abstract
The mineral exploration process is a dynamic system with a decision-making phase at each stage. The process of modern mineral discovery is characterised by a high element of risk, a lengthy time-span and sustained cash outflow, all of which may result in a zero return if an economic discovery is not made. Any successful exploration campaign must follow a route through genesis-oriented geological models and the application of appropriate exploration technology, which includes commercial and economic judgements at each stage of the process, so that chances of success may be optimized at an acceptable level of risk. The exploration process evolves from a generative stage and results in a) identification of appropriate geological models for mineralization b) identification of geologically conducive target areas c) testing and evaluation of target areas that culminates in discovery of mineral occurrences d) definition and delineation of the occurrence e) development of the deposit. The application of exploration technology is an important aspect of any exploration program. The use of advanced exploration technology is necessary because we now often work in complex geological settings where discovery of subsurface mineral deposits is commonly based on subtle surface manifestations. Applying the advanced technology effectively may enable exploration of large target areas within restricted budgets. Advancements in exploration technology have progressed especially quickly in countries like Canada and Australia, where an evolved mineral exploration industry has already found the obvious deposits and more specialized techniques are required to detect the increasingly subtle indications of subsurface mineral deposits. The advancements in Mineral exploration technology are mainly found in the following areas: • Airborne geophysical surveys: Airborne electro-magnetic systems with advanced configurations both in frequency and time domains. The application of these advances has lead to a considerable increase in the bandwidth of both helicopter-borne FDEM and fixed wing TDEM systems, which has enabled to capture deep-seated EM anomalies. • Ground geophysical surveys: Significant changes and improvements have occurred in ground electromagnetic (EM) techniques. Regarding the 10 to 100 Hz EM systems that are generally used for mineral prospecting and geologic mapping, improvements have yielded capabilities of detecting large conductive bodies to depths of 500m. Alternatively, smaller, less conductive tabular galena / sphalerite / pyrite bodies, such as the Licheen deposit in Ireland, are detectable to depths of 300m.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".