The Challenge (Goldcorp Inc.): prospección aurífera \nvía Internet. Aplicación del modelo de zona \nde cizalla aurífera a la mina Red Lake (Ontario, Canadá)
Bibliographic record
Abstract
En marzo del 2000 la compañía canadiense Goldcorp Inc. invitó a geólogos de todo el mundo a presentar propuestas de exploración para \nsu propiedad minera en Ontario (Red Lake mine). El concurso fue denominado “The Challenge”. Las propuestas tenían que: ser concisas, \nidentificar objetivos específicos, estar sustentadas por un razonamiento geológico apropiado, y ser enviadas vía e-mail en inglés. Las propuestas \npodían ser presentadas por individuos o equipos. La información geológica sobre la propiedad minera se hizo disponible en formato \ndigital (CD-ROM), y fue suplementada con información adicional en la página web habilitada por la compañía a tal efecto \n(http://www.goldcorpchallenge.com/challenge. homepage_static.html). Un equipo de la Universidad Complutense de Madrid formado por \nun profesor y alumnos de una asignatura del programa de doctorado se registró en The Challenge (junto con otros 1400 participantes), y \nla propuesta de exploración que elaboraron consiguió uno de los premios de semifinalistas. En este trabajo se muestra el desarrollo de \ndicha propuesta. Esta estuvo basada en la aplicación del modelo de zona de cizalla aurífera a una mineralización compleja bajo el punto \nde vista tectónico y metamórfico, emplazada en un cinturón de rocas verdes del Arqueozoico. \n[ABSTRACT] \nIn March 2000 Goldcorp Inc. invited contestants from all over the world to submit exploration proposals for its Red Lake Mine Property. \nThe contest was named The Challenge. Each Proposal had to be: concise, identify specific targets, be supported by appropriate geological \nreasoning, and be submitted by e-mail in the English language. Proposals could be submitted by individuals or by teams. Geological \ninformation about the Property was available by CD-Rom and supplemented with additional information on the web site (http://www.goldcorpchallenge. \ncom/challenge.homepage_static.html). A team from the University of Madrid (U. Complutense; a lecturer and a group of \nPhD. students) registered in The Challenge (among 1400 on-line prospectors), and the proposal was awarded one of the semifinalist prizes. \nIn this paper we show the proposal, which was based on the application of the gold shear zone model to a mineralization hosted by \na highly deformed sequence belonging to a greenstone belt of Archaean age.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.108 | 0.046 |
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".