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Record W4253154737 · doi:10.29173/ikc1205

Alkaline diatremes in the Hudson Bay lowlands, Canada, exploration methods, petrology and geochemistry

2019· article· en· W4253154737 on OpenAlexaffabout
A.J.A. Janse, I Downie, L. E. Reed, I. G. L. Sinclair

Bibliographic record

VenueInternational Kimberlite Conference Extended Abstracts: 1986 · 2019
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsBP (Canada)
Fundersnot available
KeywordsDiatremeGeologyBayGeochemistryPetrologyOceanographyKimberliteMantle (geology)

Abstract

fetched live from OpenAlex

A kimberlite exploration programme in the Hudson Bay Lowlands of Northern Ontario resulted in the discovery, in 1980, of a group of alkaline, ultrabasic diatremes with kimberlitic affinities.The programme was conducted by Selco Mining Corporation in partnership with Esso Minerals Canada.The Lowlands form a large area of relatively flat, poorly drained land along the southwestern shore of Hudson Bay and the western shore of James Bay (Fig. l) which extends inland for some 300 km and has an elevation ranging from zero to about 200ra.At their southern margin, the Lowlands are underlain by rocks and unconsolidated deposits ranging in age from Archean to Recent.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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 designSimulation or modeling
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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

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