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Record W2611249992

Laboratory experiment on influence of mineralogical assemblage on drainage quality in mine tailing samples

2010· article· en· W2611249992 on OpenAlex
Carla Ardau, Dw Blowes, C. J. Ptacek

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

VenueUNICA IRIS Institutional Research Information System (University of Cagliari) · 2010
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsnot available
Fundersnot available
KeywordsAssemblage (archaeology)Mining engineeringGeologyDrainageTailingsAcid mine drainageQuality (philosophy)Environmental scienceMetallurgyPaleontologyEcology
DOInot available

Abstract

fetched live from OpenAlex

Laboratory weathering study using a humidity cell procedure was conducted on sulfide containing tailings samples from four different mines within Canada. The tests lasted -60 weeks and permitted the evaluation of the progress of sulfide oxidation, and determination of the variations in drainage quality as a function of compositional variations. In addition, the experiments allowed a comparison of the efficacy of neutralizing minerals under contrasting acidification conditions. The four samples (which presented different physicochemical and mineralogical characteristics) reacted quite differently, producing effluents ranging from neutral to very acidic, and different qualities and quantities of elemental loadings. The tests allowed the acquisition of data useful in assessing the behavior of different kinds of sulfide-rich waste deposits undergoing oxidation.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.301
Teacher spread0.254 · 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