Petrography, geochemistry and\ngenesis of the Skiftesmyr Cu-Zn VMS deposit,\nGrong, Norway
Bibliographic record
Abstract
The Skiftesmyr Cu-Zn VMS-deposit is located in the Grong municipality of Northern\nTrøndelag, Norway. The mineralization has been known since at least 1903, when mention of\nsmall workings in the area were first published, and has later been the subject of several\nexploration projects by different companies, of which MetPro AS is the latest. The Skiftesmyr\ndeposit is a part of the Gjersvik Nappe, which is a part of the Köli Nappe Complex, which in\nturn is a part of the Upper Allochthon of the Scandinavian Caledonides, and is likely of Mid-\nOrdovician age. Petrographic and geochemical studies were carried out on samples from\ntrenches cutting across the mineralized horizons. Geochemical analyses performed on the\nigneous rocks suggest that the deposit formed in a back-arc environment in relation to a\nrelatively mature (compared to e.g. the Skorovas and Gjersvik deposits) island arc. In terms of\nlithological associations Skiftesmyr can be classified as bimodal-mafic and/or maficdominated,\ndepending on the interpretation of the available geochemical data, and has several\ntraits in common with both the Noranda deposits, Quebec, and the deposits of the Troodos\nMassif, Cyprus. The dominant ore minerals are chalcopyrite and sphalerite, with only minor\namounts of Cu-enriched sulphides associated with supergene enrichment processes present.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".