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Record W2909869996 · doi:10.4095/215337

Kilometre-scale carbonate mounds in basinal strata: implications for base-metal mineralization in the Mesoproterozoic Arctic Bay and Society Cliffs formations, Borden Basin, Nunavut

2004· report· en· W2909869996 on OpenAlexaboutno aff
Elizabeth C. Turner

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsBayGeologyArcticStructural basinCarbonateEarth scienceOceanographyBase metalMineralization (soil science)GeochemistryPaleontologySoil science

Abstract

fetched live from OpenAlex

Huge dolostone buildups (>200 m thick, >4 km across) grew in deep water during uppermost Arctic Bay Formation shale deposition in the northwestern Milne Inlet Graben, Borden Basin (Mesoproterozoic).Mounds and coeval shale are temporally equivalent to the lower Society Cliffs Formation in the southeastern part of the graben. Mounds protrude through the Society Cliffs basinal carbonate laminite interval into the lower Victor Bay Formation shale, both of which accumulated around the relict topography of defunct mounds. Absence of stromatolitic fabric and an exclusively basinal location indicate that mounds are not normal Proterozoic photic-zone reefs; scattered distribution, lack of preference for particular substrate types or specific facies tracts, and mound elongation parallel to nearby syndepositional faults suggest that mounds grew around cold seeps. Mounds may serve as landmarks for areas of long-lived permeable faults through which early and late mineralizing fluids migrated. The geometry of buried mounds may also be critical to localizing later Nanisivik-style 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.138
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.042
GPT teacher head0.268
Teacher spread0.226 · 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.

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

Citations5
Published2004
Admission routes1
Has abstractyes

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