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Record W2803265549 · doi:10.1080/00288306.2018.1464032

Early Jurassic felsic and associated mafic meta‐igneous rocks in Otago Schist, Central Otago, New Zealand

2018· article· en· W2803265549 on OpenAlexafffund
James K. Mortensen, J. Anthony Coote, D. Craw, Douglas J. MacKenzie

Bibliographic record

VenueNew Zealand Journal of Geology and Geophysics · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaMinistry of Business, Innovation and Employment
KeywordsFelsicMaficGeologyIgneous rockSchistGeochemistryPetrologyPlutonMetamorphic rockPaleontologyTectonics

Abstract

fetched live from OpenAlex

ABSTRACT Metamorphosed felsic volcanic rocks occur interlayered with metasedimentary schist in close association with a 7 km long metabasaltic (greenschist) horizon in the Otago Schist belt of Central Otago. The felsic metavolcanic rocks are weakly foliated and locally segregated and consist principally of quartz and albite. Geochemical analyses suggest phonolitic compositions and a general within‐plate affinity for the felsic metavolcanics rocks, and a MORB/back arc basalt affinity for the associated metabasalts. Zircons from two felsic metavolcanic samples are stubby, sharply faceted, prismatic grains with no visible inherited cores, and are considered to be of primary magmatic origin. Calculated weighted average 206 Pb– 238 U ages for zircons from the two felsic metavolcanic samples are 190.5 ± 0.6 Ma and 190.1 ± 0.3 Ma. We interpret these ages (late Aratauran–early Ururoan; middle Early Jurassic) to date the deposition of the Torlesse Terrane metasediments at that locality, and also possibly the emplacement of the associated metabasalts.

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 score0.312
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
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 head0.010
GPT teacher head0.199
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 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

Citations2
Published2018
Admission routes2
Has abstractyes

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