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Record W2790850779 · doi:10.4095/306476

Textural and mineralogical characterization of a Ni-Zn-rich black shale occurrence at the Akie property, Kechika Trough, northern British Columbia, and comparison with examples from Yukon

2018· report· en· W2790850779 on OpenAlexaffabout
Jan M. Peter, N Bocking, M G Gadd, Daniel Layton‐Matthews, Nasa Johnson

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsTrough (economics)Oil shaleCharacterization (materials science)GeologyGeochemistryProperty (philosophy)ArchaeologyMining engineeringMineralogyGeographyMaterials sciencePaleontologyNanotechnologyPhilosophy

Abstract

fetched live from OpenAlex

Hyper-enriched black shales (HEBS) that are enriched in Ni, Zn, Mo, and other elements occur within the Devonian strata of Yukon over 100s to 1000s km2. The mineralization is typically up to several tens of centimetres thick. Recently, during exploration for SEDEX deposits, mineralization that is potentially analogous (and time-stratigraphically equivalent) to HEBS mineralization in Yukon was discovered in the Kechika Trough of northeastern British Columbia. Here, about 3 to 20 m stratigraphically below the SEDEX mineralization of the Cardiac Creek deposit, an approximately 2 to 20 cm thick stratiform horizon hosts sphalerite, chalcopyrite, millerite, gersdorffite, clausthalite, pentlandite and pyrite within Devonian black, carbonaceous shale. This mineralization is strikingly similar in broad stratigraphic age, metal enrichments, textures and mineralogy to HEBS localities in Yukon. Based on these similarities, this mineralization likely was formed at a discrete time interval, over a wide area (likely 1000s km2) within the Selwyn Basin and the adjacent carbonate platform. This has implications for any genetic and exploration model(s) for this style of mineralization.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.286
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2018
Admission routes2
Has abstractyes

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