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Record W2115120817 · doi:10.1144/1467-7873/03-016

Laboratory reflectance spectra of hydrothermally altered carbonate facies, Pine Point mining camp, NWT, Canada

2003· article· en· W2115120817 on OpenAlexaffabout
William Turner, Ahmed Laamrani, Benoît Rivard

Bibliographic record

VenueGeochemistry Exploration Environment Analysis · 2003
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFaciesCarbonateGeologyReflectivityMineralogyGeochemistryArchaeologyGeographyGeomorphologyChemistryPhysicsOptics

Abstract

fetched live from OpenAlex

This study uses reflectance spectroscopy to examine cores of hydrothermally altered carbonate facies within the North Trend, Pine Point mining camp. Four alteration types were constrained to specific facies in Pine Point, Sulphur Point, and Windy Point formations. These alteration types, each having a unique spectral signature, are: white dolomite, blue-grey dolomite, white calcite, and blue-grey calcite. The blue-grey calcite and dolomite signatures showed similarities in band positions between 0.8 μm and 1.1 μm, a spectral indicator for the presence of ferrous and ferric iron. The white calcite phase had an absorption feature at c . 1.73 μm likely due to organics. The spectral absorption bands for liquid water (1.4 and 1.9 μm) trapped in fluid inclusions were ubiquitous to all samples. Characterization of carbonates with respect to their timing of deposition (pre-, syn-, and post-mineralization) is complicated by lack of sulphides. Laboratory and field observations determined that blue-grey carbonates contain elevated sulphide concentrations compared to their white counterparts and commonly envelope Pb–Zn orebodies, and therefore this carbonate species may be directly associated with the ore deposition events. The carbonate alteration spectral signatures characterized by this study may be used to further the efficiency of airborne hyperspectral exploration in other Mississippi-Valley-Type districts.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.185
Teacher spread0.175 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations4
Published2003
Admission routes2
Has abstractyes

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