THE EXPERIMANTAL APPLICATION OF SOME DEEP-PENETRATING GEOCHEMICAL METHODS OVER THE SPENCE CONCEALED PORPHYRY COPPER DEPOSIT IN CHILE
Bibliographic record
Abstract
In deep-penetrating geochemical international cooperative project,results obtained by sequential extraction methods for mobile forms with ultra filtration technology of China and six selective leach methods of Canadian labs showed fairly good anomaly over the Spence porphyry copper deposit in Chile.In order to identify the type of anomaly,the authors extracted and tested industrial mineral phase of Cu.The results show that Cu of oxide and sulfide phases has fairly ideal anomaly discrimination over the ore body.It can thus be confirmed that the above-mentioned anomaly is an ore-induced anomaly.The authors believe that,for underlying porphyry copper ore deposits such as Spence,trace phase analytical method technology should be used to look for industrial mineral anomaly after finding element anomaly by deep-penetrating geochemical methods.If the two kinds of anomalies coincide with each other,researchers can more confidently make a correct assessment of ther concealed ore body.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".