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Record W2623673530

Granitoids and rare-element pegmatites of the Georgia Lake area, northwestern Ontario / by Borys Zayachkivsky. --

2017· other· en· W2623673530 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsPegmatiteGeologyArchaeologyPhysical geographyGeochemistryGeography
DOInot available

Abstract

fetched live from OpenAlex

The Georgia Lake pegmatite field is located in the
\nQuetico Gneiss Belt of the Superior Province.
\nSpodumene-bearing and subordinate beryl-bearing pegmatites
\nof the Georgia Lake area are flanked to the south and east
\nby an extensive granitoid terrain, which previously has
\nnot been subdivided. Granitoids of the immediate Georgia
\nLake area were investigated in conjunction with rare-element
\npegmatites to determine the character of the granitoids
\nas parental intrusions to rare-element pegmatites. The
\ngranitoids include two-mica leucogranites occurring as
\na large plutonic mass south of the pegmatite field and
\nas smaller satellitic intrusions, the Kilgour Lake Group
\ngranitoids centered on a small gabbroic-metagabbroic unit near Kilgour Lake and tonalitic sills dispersed throughout
\nthe pegmatite field. The distinction of the three types
\nof granitoids was made on the basis of field observations,
\npetrography and analytical geochemistry. Two-mica
\nleucogranites and tonalitic sills were derived as partial
\nmelts of politic metasediments and metagreywacke,
\nrespectively. The Kilgour Lake Group granitoids were
\npresumed to be the products of fractional crystallization
\nof a mafic melt generated in the upper mantle or lower
\ncrust.
\nMineralogical studies were carried out on perthitic
\nmicrocline, tantalite-columbite and Sn oxide minerals from rare-element pegmatites. Results indicate that perthitic
\nmicrocline in all pegmatites is of the maximum microcline
\nstructural state, tantalite-columbite minerals occur in
\na partly to completely disordered structural state and
\nthe dominant Sn oxide mineral is staringite. Division of spodumene-bearing rare-element pegmatites
\ninto Southern, Central and Northern Groups was made on
\nthe basis of internal textural variations, mineralogy and
\ndifferences in geochemistry of perthitic microcline and
\nmuscovite. The Southern Group consists of one pegmatite
\nwhich is unique to the Georgia Lake pegmatite field with
\nrespect to development of mineralogical zones and strong
\ninternal fractionation of Rb and Cs. Central Group
\npegmatites are linked by a fractionation trend, with respect
\nto Rb and Cs, across the group. A similar fractionation
\ntrend is not observed across the Northern Group pegmatites.
\nThe pegmatite groupings reflect different modes of source
\nfluid derivation, although all pegmatites of the Georgia Lake area originated as the result of a common anatectic
\nevent responsible for the intrusion of two-mica
\nleucogranites. Central and Southern Group pegmatites were
\nderived from low viscosity fluids differentiated from
\ngranitic melts, while Northern Group pegmatites are presumed
\nto be the products of fluids generated by direct anatexis
\nof metasediments.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.016
GPT teacher head0.205
Teacher spread0.189 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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