HALOGEN.BEARING ALLANITE FROM THE WH|TE RIVER GOLD OCCURRENCE, HEMLO AREA. ONTARIO
Bibliographic record
Abstract
Halogen-bearing allanite (containing up to 0.95 ft.qo Cl and 0.76 wt.%o F) occurs as a minor constituent in the zone of anomalous gold values at the White River gold occur-rence of LAC Minerals Ltd., Hemlo area, Ontario. It is present as fine-grained ageregates associated with monazite, apatite, rutile, zircon, clinozoisite, and epidote and exhibits a well-developed chemical zonation with an Fe- and R.EE-poor core and an Fe- and R.EE-rich margin. REE-bearing and R.EE-free clinozoisite also are locally present as nuclei to the R.EE-poor core. Halogen-bearing allanite has minor Mg and Mn and an extremely low content of ferric iron. Clinozoisite and halogen-bearing allanite exhibit a complete solid-solution through the coupled substitution: Ca42 + All,rn = REEAI + Fe2+ pn. Textures and chemical com-position indicate that the halogen-bearing (F, Cl) allanite from the study area crystallized from a H2O-rich fluid during the formation of the calc-silicate (skarn) assernblage. Hydrothermal fluid, probably directly or indirectly related to plutonic activity, introduced F and Cl and remobilized and locally concentrated REE. The restricted occurrence of halogen-bearing allanite and its close correlation with high gold concentrations in the Anomalous Zone support a genetic link between calc-silicate alteration and gold mineralization in this Archean terrain, analogous to that in Phanerozoic auriferous skarn deposits.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".