Les systèmes minéralisateurs à oxydes de fer et altération à éléments alcalins (±calciques), et leurs gîtes IOA, IOCG, skarns, U±Au±Co (au sein d'albitites) et affiliés : une série de cours intensifs. Partie 2 :Aperçu général des types de gîtes, distribution, âges, contextes, exemples, faciès d'altération et modèles métallogéniques
Bibliographic record
Abstract
La partie 2 de cette série de cours intensifs passe en revue les types de gîtes au sein des systèmes minéralisateurs à oxydes de fer et éléments alcalins et calciques, leur classification, leur répartition mondiale et celle des systèmes d'intérêt au Canada, leurs âges, leurs contextes de formation, leurs faciès d'altération et les modèles métallogéniques invoqués. Ces systèmes renferment des gîtes à oxydes de fer cuivre-or (IOCG) et leurs variantes riches en Co et Bi, des gîtes à oxydes de ferapatite (IOA), y compris leurs variantes riches en terres rares, ainsi que certains gîtes à U ± Co ± Au et Au±Co±Cu encaissés dans des albitites, gîtes à Mo-Re et skarns polymétalliques. Un continuum avec des systèmes épithermaux est également commun.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".