Bibliographic record
Abstract
提出超大型Ni-Cu(Pt)岩浆硫化物矿床的划分标准为:Ni储量≥50万 t,Ni品位≥1%,若Ni品位＜1%其中共生元素Cu或Pt族达到经济品位者;超巨型矿床的划分标准为:Ni储量≥500万 t,Ni品位≥1%,若Ni品位＜1%其中共生元素Cu或Pt族达到经济品位者.按照这种标准全世界有超大型矿床9个、超巨型矿床3个.确定并论述了超大(巨)型Ni-Cu(Pt)岩浆硫化物矿床的五种类型和它们的地质定位条件和特征.这五种类型为(1)元古宙与古陨石坑有关的苏长岩-辉长岩型矿床,如萨德伯里(Sudbury);(2)元古宙与大陆边缘裂解有关的小侵入体矿床,如金川、沃依塞湾(Voisey Bay);(3)显生宙与大陆裂谷有关的相当于溢流玄武岩的侵入体矿床,如诺里尔斯克(Noril′sk)、十月(Oktyabri′skiy)、塔尔纳赫(Talnakh)、太梅尔(Tamyr)等;(4)太古宙绿岩带与科马提岩有关的矿床,如西澳阿格纽(Agnew)、康巴尔达(Kconbalda)、基斯山(Mt.Keith),加拿大汤普逊(Thompson)带的矿床;(5)早元古代大陆层状侵入杂岩体中硫化物与铂族元素,如布什维尔德(Bushveld)等.预测中国最有找矿前景的是(2)类型矿床,(3)(4)两种类型在我国亦具有形成超大型矿床的地质条件.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".