T.T. Chen Honorary Symposium on Hydrometallurgy, Electrometallurgy and Materials Characterization
Bibliographic record
Abstract
Este volumen recoge los trabajos presentados en el Simposium, celebrado en Orlando (Florida, USA) durante los dias 11-15 de Marzo del 2012, en honor del prof. T.T.Chen jubilado del CANMET (Canada) en marzo del 2011, despues de mas de 35 anos de practica profesional en distintas areas de la Metalurgia Extractiva y Procesado de Metales. El Simposium fue organizado por el Comite de Hidrometalurgia y Electrometalurgia y el Comite de Caracterizacion de Materiales de la Division de Extraccion y Procesado de la TMS (The Minerals, Metals & Materials Society, USA). El libro, a lo largo de sus 800 paginas, recoge 70 contribuciones al simposium y cuatro lecturas plenarias, presentadas por autores de mas de 15 paises y distribuidas de acuerdo con las tematicas generales del mismo: electrorrefino del cobre, procesado de metales base, procesado de metales de transicion, metales preciosos, reciclado y medio ambiente, etc. Sin lugar a dudas, este libro es un compendio de los ultimos avances en los distintos campos que se han mencionado, por lo que su consulta es obligada para todos los profesionales con algun interes en estos sectores. Agradecemos a Wiley el envio y la oportunidad de consultar este volumen.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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 teacher head, 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".