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Record W2117063666 · doi:10.2113/gsemg.19.1-2.23

Assessing the Returns to Copper Exploration, 1989-2008

2010· article· en· W2117063666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueExploration and Mining Geology · 2010
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsCopperGeologyMining engineeringEarth scienceMetallurgyMaterials science

Abstract

fetched live from OpenAlex

Economic returns for the copper industry have been assessed by building cash flow models for each of the 100 new mines brought into production over the past 20 years. Ninety-one of the 100 new mines returned the assumed 8% cost of capital and generated a positive net present value (NPV) at the development decision point. Economic criteria for individual mines are highly variable with NPV ranging from −$111 million (−$111M) to +$3850M (all money values are presented in United States dollars) and internal rate of return (IRR) ranging from −8% to +95%. The copper industry collectively would generate approximately $39 billion dollars in NPV through the development of the 100 new mines. The returns to exploration ($174M per deposit) were measured by deducting the cost of exploration per deposit ($221M) from the returns to development per deposit ($395M). Overall, the copper business has provided positive returns to exploration. However, the variability in returns across deposits means that only 41 of the 100 new mines can carry the average cost of exploration. The long lead times and high costs associated with exploration result in only those deposits with large amounts of contained copper being able to cover the average finding cost of the industry. The returns to development and exploration are shown to be highly sensitive to the cost of capital and metal price assumptions. With respect to deposit type, porphyry deposits are both larger (NPV) and exhibit lower profitability (IRR) than the nonporphyry deposits. On a geographic basis, returns to development and exploration are higher in Chile than elsewhere, reflecting the larger average deposit size and lower average exploration cost per deposit. © 2010 Canadian Institute of Mining, Metallurgy and Petroleum. All rights reserved. Sommaire Les retours sur investissement ont ete evalues par des modeles de valeur actualisee de flux de tresorerie pour chacune des 100 dernieres mines mises en production au cours des dernieres 20 annees. Quatre-vingt onze des cent mines les plus recentes ont retourne les couts en capital assumes de 8% et genere une valeur actualisee nette positive (VAN) au moment de la prise d’une decision de developper. Les criteres economiques de ces mines individuelles sont hautement variables avec des VAN allant de −$111 million (−$111M) a +$3850M (toutes les valeurs monetaires sont presentees en dollars Americains) et les taux de retour internes (TRI) vont de −8% a +95%. L’industrie du cuivre genererait collectivement environ $39 milliards de dollars en VAN par le developpement de 100 nouvelles mines. Les retours sur l’exploration ($174M par gisement) ont ete calcules en deduisant le cout de l’exploration par gisement ($221M) des retours sur le developpement par gisement ($395M). L’industrie du cuivre a generalement genere des retours sur l’exploration positifs. La variabilite des retours d’un gisement a l’autre n’a toutefois permis qu’a 41 des 100 nouvelles mines de soutenir les couts moyens d’exploration. La longueur des delais de mise en production et les couts d’exploration eleves font que seuls les gisements contenant une grande quantite de cuivre peuvent soutenir les couts moyens encourus par l’industrie pour leur decouverte. Les retours sur le developpement et l’exploration s’averent etre tres sensibles au cout du capital et aux assomptions sur le prix des metaux. En ce qui a trait aux types de gisement, les gites de type porphyrique presentent a la fois une plus grande taille (VAN) et une profitabilite moindre (TRI) que les autres types de gisement. D’un point de vue geographique, le retour sur le developpement et l’exploration est plus grand au Chili qu’ailleurs, ce qui decoule de la taille moyenne des gisements qui y est plus grande et des couts moyens d’exploration par gisement qui sont plus faibles. © 2010 Canadian Institute of Mining, Metallurgy and Petroleum. All rights reserved.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.306
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it